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- adrd/model/__pycache__/__init__.cpython-311.pyc +0 -0
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- adrd/utils/__pycache__/transformer_dataset.cpython-311.pyc +0 -0
- app.py +38 -5
- data/__pycache__/dataset_csv.cpython-311.pyc +0 -0
- data/dataset_csv.py +56 -0
- data/default_conf_new.toml +1620 -0
- data/nacc_test_with_np_cli.csv +0 -0
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app.py
CHANGED
@@ -1,10 +1,12 @@
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1 |
import streamlit as st
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import json
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@st.cache_resource
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def load_model():
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import adrd
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ckpt_path = './ckpt_densenet_emb_encoder_2_AUPR.pt'
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model = adrd.model.ADRDModel.from_ckpt(ckpt_path, device='cpu')
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return model
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@@ -14,14 +16,45 @@ def predict_proba(data_dict):
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pred_dict = model.predict_proba([data_dict])[1][0]
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return pred_dict
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# Create a form for user input
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with st.form("json_input_form"):
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-
st.write("Please enter
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-
json_input = st.text_area(
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-
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-
#
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-
if
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try:
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# Parse the JSON input into a Python dictionary
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data_dict = json.loads(json_input)
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import streamlit as st
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import json
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+
import random
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@st.cache_resource
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def load_model():
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import adrd
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ckpt_path = './ckpt_densenet_emb_encoder_2_AUPR.pt'
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+
# ckpt_path = '../adrd_tool_copied_from_sahana/dev/ckpt/ckpt_densenet_emb_encoder_2_AUPR.pt'
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model = adrd.model.ADRDModel.from_ckpt(ckpt_path, device='cpu')
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return model
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pred_dict = model.predict_proba([data_dict])[1][0]
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return pred_dict
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+
# load NACC testing data
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from data.dataset_csv import CSVDataset
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dat_tst = CSVDataset(
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dat_file = "./data/nacc_test_with_np_cli.csv",
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cnf_file = "./data/default_conf_new.toml"
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+
)
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+
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+
# initialize session state for the text input if it's not already set
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+
if 'input_text' not in st.session_state:
|
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+
st.session_state.input_text = ""
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+
|
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# Create a form for user input
|
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with st.form("json_input_form"):
|
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+
st.write("Please enter the input features in the textbox below, formatted as a JSON dictionary. Click the \"Random NACC Example\" button to populate the textbox with a randomly selected case from the NACC testing dataset. Use the \"Predict\" button to submit your input to the model, which will then provide probability predictions for mental status and all 10 etiologies.")
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+
json_input = st.text_area(
|
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+
"Please enter JSON-formatted input features:",
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value = st.session_state.input_text,
|
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+
height = 250
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+
)
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+
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+
# create three columns
|
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+
left_col, middle_col, right_col = st.columns([3, 4, 1])
|
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+
|
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+
with left_col:
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+
example_button = st.form_submit_button("Random NACC Example")
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+
|
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+
with right_col:
|
46 |
+
submit_button = st.form_submit_button("Predict")
|
47 |
+
|
48 |
+
if example_button:
|
49 |
+
idx = random.randint(0, len(dat_tst) - 1)
|
50 |
+
example = dat_tst[idx][0]
|
51 |
+
st.session_state.input_text = json.dumps(example)
|
52 |
|
53 |
+
# reset input text after form processing to show updated text in the input box
|
54 |
+
if 'input_text' in st.session_state:
|
55 |
+
st.experimental_rerun()
|
56 |
+
|
57 |
+
elif submit_button:
|
58 |
try:
|
59 |
# Parse the JSON input into a Python dictionary
|
60 |
data_dict = json.loads(json_input)
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data/__pycache__/dataset_csv.cpython-311.pyc
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data/dataset_csv.py
ADDED
@@ -0,0 +1,56 @@
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+
#%%
|
2 |
+
import pandas as pd
|
3 |
+
import tomllib
|
4 |
+
|
5 |
+
value_mapping = {
|
6 |
+
'his_SEX': {'female': 0, 'male': 1},
|
7 |
+
'his_HISPANIC': {'no': 0, 'yes': 1},
|
8 |
+
'his_NACCNIHR': {'whi': 0, 'blk': 1, 'asi': 2, 'ind': 3, 'haw': 4, 'mul': 5},
|
9 |
+
'his_RACE': {'whi': 0, 'blk': 1, 'asi': 2, 'ind': 3, 'haw': 4, 'oth': 5},
|
10 |
+
'his_RACESEC': {'whi': 0, 'blk': 1, 'asi': 2, 'ind': 3, 'haw': 4, 'oth': 5},
|
11 |
+
'his_RACETER': {'whi': 0, 'blk': 1, 'asi': 2, 'ind': 3, 'haw': 4, 'oth': 5},
|
12 |
+
}
|
13 |
+
|
14 |
+
label_names = ['NC', 'MCI', 'DE', 'AD', 'LBD', 'VD', 'PRD', 'FTD', 'NPH', 'SEF', 'PSY', 'TBI', 'ODE']
|
15 |
+
|
16 |
+
class CSVDataset:
|
17 |
+
|
18 |
+
def __init__(self, dat_file, cnf_file):
|
19 |
+
''' ... '''
|
20 |
+
# load data csv
|
21 |
+
df = pd.read_csv(dat_file)
|
22 |
+
|
23 |
+
# value mapping
|
24 |
+
for col, mapping in value_mapping.items():
|
25 |
+
df[col] = df[col].replace(mapping)
|
26 |
+
|
27 |
+
# load toml file to get feature names
|
28 |
+
with open(cnf_file, 'rb') as file:
|
29 |
+
feature_names = tomllib.load(file)['feature'].keys()
|
30 |
+
|
31 |
+
self.df = df
|
32 |
+
self.df_features = df[feature_names]
|
33 |
+
self.df_labels = df[label_names]
|
34 |
+
|
35 |
+
def __len__(self):
|
36 |
+
''' ... '''
|
37 |
+
return len(self.df)
|
38 |
+
|
39 |
+
def __getitem__(self, idx):
|
40 |
+
''' ... '''
|
41 |
+
row = self.df_features.iloc[idx]
|
42 |
+
clean_row = row.dropna()
|
43 |
+
feature_dict = clean_row.to_dict()
|
44 |
+
|
45 |
+
row = self.df_labels.iloc[idx]
|
46 |
+
clean_row = row.dropna()
|
47 |
+
label_dict = clean_row.to_dict()
|
48 |
+
|
49 |
+
return feature_dict, label_dict
|
50 |
+
|
51 |
+
if __name__ == '__main__':
|
52 |
+
# load dataset
|
53 |
+
dset = CSVDataset('./nacc_test_with_np_cli.csv', './default_conf_new.toml')
|
54 |
+
print(dset[1])
|
55 |
+
|
56 |
+
# %%
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data/default_conf_new.toml
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|
1 |
+
[features]
|
2 |
+
|
3 |
+
[feature.his_NACCREAS]
|
4 |
+
type = "categorical"
|
5 |
+
num_categories = 3
|
6 |
+
|
7 |
+
[feature.his_NACCREFR]
|
8 |
+
type = "categorical"
|
9 |
+
num_categories = 3
|
10 |
+
|
11 |
+
[feature.his_SEX]
|
12 |
+
type = "categorical"
|
13 |
+
num_categories = 2
|
14 |
+
|
15 |
+
[feature.his_HISPANIC]
|
16 |
+
type = "categorical"
|
17 |
+
num_categories = 2
|
18 |
+
|
19 |
+
[feature.his_HISPOR]
|
20 |
+
type = "categorical"
|
21 |
+
num_categories = 8
|
22 |
+
|
23 |
+
[feature.his_RACE]
|
24 |
+
type = "categorical"
|
25 |
+
num_categories = 6
|
26 |
+
|
27 |
+
[feature.his_RACESEC]
|
28 |
+
type = "categorical"
|
29 |
+
num_categories = 6
|
30 |
+
|
31 |
+
[feature.his_RACETER]
|
32 |
+
type = "categorical"
|
33 |
+
num_categories = 6
|
34 |
+
|
35 |
+
[feature.his_PRIMLANG]
|
36 |
+
type = "categorical"
|
37 |
+
num_categories = 7
|
38 |
+
|
39 |
+
[feature.his_MARISTAT]
|
40 |
+
type = "categorical"
|
41 |
+
num_categories = 6
|
42 |
+
|
43 |
+
[feature.his_LIVSIT]
|
44 |
+
type = "categorical"
|
45 |
+
num_categories = 5
|
46 |
+
|
47 |
+
[feature.his_INDEPEND]
|
48 |
+
type = "categorical"
|
49 |
+
num_categories = 4
|
50 |
+
|
51 |
+
[feature.his_RESIDENC]
|
52 |
+
type = "categorical"
|
53 |
+
num_categories = 4
|
54 |
+
|
55 |
+
[feature.his_HANDED]
|
56 |
+
type = "categorical"
|
57 |
+
num_categories = 3
|
58 |
+
|
59 |
+
[feature.his_NACCNIHR]
|
60 |
+
type = "categorical"
|
61 |
+
num_categories = 6
|
62 |
+
|
63 |
+
[feature.his_NACCFAM]
|
64 |
+
type = "categorical"
|
65 |
+
num_categories = 2
|
66 |
+
|
67 |
+
[feature.his_NACCMOM]
|
68 |
+
type = "categorical"
|
69 |
+
num_categories = 2
|
70 |
+
|
71 |
+
[feature.his_NACCDAD]
|
72 |
+
type = "categorical"
|
73 |
+
num_categories = 2
|
74 |
+
|
75 |
+
[feature.his_NACCFADM]
|
76 |
+
type = "categorical"
|
77 |
+
num_categories = 2
|
78 |
+
|
79 |
+
[feature.his_NACCAM]
|
80 |
+
type = "categorical"
|
81 |
+
num_categories = 5
|
82 |
+
|
83 |
+
[feature.his_NACCAMS]
|
84 |
+
type = "categorical"
|
85 |
+
num_categories = 4
|
86 |
+
|
87 |
+
[feature.his_NACCFFTD]
|
88 |
+
type = "categorical"
|
89 |
+
num_categories = 2
|
90 |
+
|
91 |
+
[feature.his_NACCFM]
|
92 |
+
type = "categorical"
|
93 |
+
num_categories = 6
|
94 |
+
|
95 |
+
[feature.his_NACCFMS]
|
96 |
+
type = "categorical"
|
97 |
+
num_categories = 4
|
98 |
+
|
99 |
+
[feature.his_NACCOM]
|
100 |
+
type = "categorical"
|
101 |
+
num_categories = 2
|
102 |
+
|
103 |
+
[feature.his_NACCOMS]
|
104 |
+
type = "categorical"
|
105 |
+
num_categories = 4
|
106 |
+
|
107 |
+
[feature.his_TOBAC30]
|
108 |
+
type = "categorical"
|
109 |
+
num_categories = 2
|
110 |
+
|
111 |
+
[feature.his_TOBAC100]
|
112 |
+
type = "categorical"
|
113 |
+
num_categories = 2
|
114 |
+
|
115 |
+
[feature.his_ALCOCCAS]
|
116 |
+
type = "categorical"
|
117 |
+
num_categories = 2
|
118 |
+
|
119 |
+
[feature.his_ALCFREQ]
|
120 |
+
type = "categorical"
|
121 |
+
num_categories = 5
|
122 |
+
|
123 |
+
[feature.his_CVHATT]
|
124 |
+
type = "categorical"
|
125 |
+
num_categories = 3
|
126 |
+
|
127 |
+
[feature.his_HATTMULT]
|
128 |
+
type = "categorical"
|
129 |
+
num_categories = 2
|
130 |
+
|
131 |
+
[feature.his_CVAFIB]
|
132 |
+
type = "categorical"
|
133 |
+
num_categories = 3
|
134 |
+
|
135 |
+
[feature.his_CVANGIO]
|
136 |
+
type = "categorical"
|
137 |
+
num_categories = 3
|
138 |
+
|
139 |
+
[feature.his_CVBYPASS]
|
140 |
+
type = "categorical"
|
141 |
+
num_categories = 3
|
142 |
+
|
143 |
+
[feature.his_CVPACDEF]
|
144 |
+
type = "categorical"
|
145 |
+
num_categories = 3
|
146 |
+
|
147 |
+
[feature.his_CVPACE]
|
148 |
+
type = "categorical"
|
149 |
+
num_categories = 3
|
150 |
+
|
151 |
+
[feature.his_CVCHF]
|
152 |
+
type = "categorical"
|
153 |
+
num_categories = 3
|
154 |
+
|
155 |
+
[feature.his_CVANGINA]
|
156 |
+
type = "categorical"
|
157 |
+
num_categories = 3
|
158 |
+
|
159 |
+
[feature.his_CVHVALVE]
|
160 |
+
type = "categorical"
|
161 |
+
num_categories = 3
|
162 |
+
|
163 |
+
[feature.his_CVOTHR]
|
164 |
+
type = "categorical"
|
165 |
+
num_categories = 3
|
166 |
+
|
167 |
+
[feature.his_CBSTROKE]
|
168 |
+
type = "categorical"
|
169 |
+
num_categories = 3
|
170 |
+
|
171 |
+
[feature.his_STROKMUL]
|
172 |
+
type = "categorical"
|
173 |
+
num_categories = 2
|
174 |
+
|
175 |
+
[feature.his_CBTIA]
|
176 |
+
type = "categorical"
|
177 |
+
num_categories = 3
|
178 |
+
|
179 |
+
[feature.his_TIAMULT]
|
180 |
+
type = "categorical"
|
181 |
+
num_categories = 2
|
182 |
+
|
183 |
+
[feature.his_PD]
|
184 |
+
type = "categorical"
|
185 |
+
num_categories = 2
|
186 |
+
|
187 |
+
[feature.his_PDOTHR]
|
188 |
+
type = "categorical"
|
189 |
+
num_categories = 2
|
190 |
+
|
191 |
+
[feature.his_SEIZURES]
|
192 |
+
type = "categorical"
|
193 |
+
num_categories = 3
|
194 |
+
|
195 |
+
[feature.his_TBI]
|
196 |
+
type = "categorical"
|
197 |
+
num_categories = 3
|
198 |
+
|
199 |
+
[feature.his_TBIBRIEF]
|
200 |
+
type = "categorical"
|
201 |
+
num_categories = 3
|
202 |
+
|
203 |
+
[feature.his_TRAUMBRF]
|
204 |
+
type = "categorical"
|
205 |
+
num_categories = 3
|
206 |
+
|
207 |
+
[feature.his_TBIEXTEN]
|
208 |
+
type = "categorical"
|
209 |
+
num_categories = 3
|
210 |
+
|
211 |
+
[feature.his_TRAUMEXT]
|
212 |
+
type = "categorical"
|
213 |
+
num_categories = 3
|
214 |
+
|
215 |
+
[feature.his_TBIWOLOS]
|
216 |
+
type = "categorical"
|
217 |
+
num_categories = 3
|
218 |
+
|
219 |
+
[feature.his_TRAUMCHR]
|
220 |
+
type = "categorical"
|
221 |
+
num_categories = 3
|
222 |
+
|
223 |
+
[feature.his_NCOTHR]
|
224 |
+
type = "categorical"
|
225 |
+
num_categories = 3
|
226 |
+
|
227 |
+
[feature.his_DIABETES]
|
228 |
+
type = "categorical"
|
229 |
+
num_categories = 3
|
230 |
+
|
231 |
+
[feature.his_DIABTYPE]
|
232 |
+
type = "categorical"
|
233 |
+
num_categories = 3
|
234 |
+
|
235 |
+
[feature.his_HYPERTEN]
|
236 |
+
type = "categorical"
|
237 |
+
num_categories = 3
|
238 |
+
|
239 |
+
[feature.his_HYPERCHO]
|
240 |
+
type = "categorical"
|
241 |
+
num_categories = 3
|
242 |
+
|
243 |
+
[feature.his_B12DEF]
|
244 |
+
type = "categorical"
|
245 |
+
num_categories = 3
|
246 |
+
|
247 |
+
[feature.his_THYROID]
|
248 |
+
type = "categorical"
|
249 |
+
num_categories = 3
|
250 |
+
|
251 |
+
[feature.his_ARTHRIT]
|
252 |
+
type = "categorical"
|
253 |
+
num_categories = 3
|
254 |
+
|
255 |
+
[feature.his_ARTHTYPE]
|
256 |
+
type = "categorical"
|
257 |
+
num_categories = 3
|
258 |
+
|
259 |
+
[feature.his_ARTHUPEX]
|
260 |
+
type = "categorical"
|
261 |
+
num_categories = 2
|
262 |
+
|
263 |
+
[feature.his_ARTHLOEX]
|
264 |
+
type = "categorical"
|
265 |
+
num_categories = 2
|
266 |
+
|
267 |
+
[feature.his_ARTHSPIN]
|
268 |
+
type = "categorical"
|
269 |
+
num_categories = 2
|
270 |
+
|
271 |
+
[feature.his_ARTHUNK]
|
272 |
+
type = "categorical"
|
273 |
+
num_categories = 2
|
274 |
+
|
275 |
+
[feature.his_INCONTU]
|
276 |
+
type = "categorical"
|
277 |
+
num_categories = 3
|
278 |
+
|
279 |
+
[feature.his_INCONTF]
|
280 |
+
type = "categorical"
|
281 |
+
num_categories = 3
|
282 |
+
|
283 |
+
[feature.his_APNEA]
|
284 |
+
type = "categorical"
|
285 |
+
num_categories = 3
|
286 |
+
|
287 |
+
[feature.his_RBD]
|
288 |
+
type = "categorical"
|
289 |
+
num_categories = 3
|
290 |
+
|
291 |
+
[feature.his_INSOMN]
|
292 |
+
type = "categorical"
|
293 |
+
num_categories = 3
|
294 |
+
|
295 |
+
[feature.his_OTHSLEEP]
|
296 |
+
type = "categorical"
|
297 |
+
num_categories = 3
|
298 |
+
|
299 |
+
[feature.his_ALCOHOL]
|
300 |
+
type = "categorical"
|
301 |
+
num_categories = 3
|
302 |
+
|
303 |
+
[feature.his_ABUSOTHR]
|
304 |
+
type = "categorical"
|
305 |
+
num_categories = 3
|
306 |
+
|
307 |
+
[feature.his_PTSD]
|
308 |
+
type = "categorical"
|
309 |
+
num_categories = 3
|
310 |
+
|
311 |
+
[feature.his_BIPOLAR]
|
312 |
+
type = "categorical"
|
313 |
+
num_categories = 3
|
314 |
+
|
315 |
+
[feature.his_SCHIZ]
|
316 |
+
type = "categorical"
|
317 |
+
num_categories = 3
|
318 |
+
|
319 |
+
[feature.his_DEP2YRS]
|
320 |
+
type = "categorical"
|
321 |
+
num_categories = 2
|
322 |
+
|
323 |
+
[feature.his_DEPOTHR]
|
324 |
+
type = "categorical"
|
325 |
+
num_categories = 2
|
326 |
+
|
327 |
+
[feature.his_ANXIETY]
|
328 |
+
type = "categorical"
|
329 |
+
num_categories = 3
|
330 |
+
|
331 |
+
[feature.his_OCD]
|
332 |
+
type = "categorical"
|
333 |
+
num_categories = 3
|
334 |
+
|
335 |
+
[feature.his_NPSYDEV]
|
336 |
+
type = "categorical"
|
337 |
+
num_categories = 3
|
338 |
+
|
339 |
+
[feature.his_PSYCDIS]
|
340 |
+
type = "categorical"
|
341 |
+
num_categories = 3
|
342 |
+
|
343 |
+
[feature.his_NACCTBI]
|
344 |
+
type = "categorical"
|
345 |
+
num_categories = 2
|
346 |
+
|
347 |
+
[feature.med_ANYMEDS]
|
348 |
+
type = "categorical"
|
349 |
+
num_categories = 2
|
350 |
+
|
351 |
+
[feature.med_NACCAHTN]
|
352 |
+
type = "categorical"
|
353 |
+
num_categories = 2
|
354 |
+
|
355 |
+
[feature.med_NACCHTNC]
|
356 |
+
type = "categorical"
|
357 |
+
num_categories = 2
|
358 |
+
|
359 |
+
[feature.med_NACCACEI]
|
360 |
+
type = "categorical"
|
361 |
+
num_categories = 2
|
362 |
+
|
363 |
+
[feature.med_NACCAAAS]
|
364 |
+
type = "categorical"
|
365 |
+
num_categories = 2
|
366 |
+
|
367 |
+
[feature.med_NACCBETA]
|
368 |
+
type = "categorical"
|
369 |
+
num_categories = 2
|
370 |
+
|
371 |
+
[feature.med_NACCCCBS]
|
372 |
+
type = "categorical"
|
373 |
+
num_categories = 2
|
374 |
+
|
375 |
+
[feature.med_NACCDIUR]
|
376 |
+
type = "categorical"
|
377 |
+
num_categories = 2
|
378 |
+
|
379 |
+
[feature.med_NACCVASD]
|
380 |
+
type = "categorical"
|
381 |
+
num_categories = 2
|
382 |
+
|
383 |
+
[feature.med_NACCANGI]
|
384 |
+
type = "categorical"
|
385 |
+
num_categories = 2
|
386 |
+
|
387 |
+
[feature.med_NACCLIPL]
|
388 |
+
type = "categorical"
|
389 |
+
num_categories = 2
|
390 |
+
|
391 |
+
[feature.med_NACCNSD]
|
392 |
+
type = "categorical"
|
393 |
+
num_categories = 2
|
394 |
+
|
395 |
+
[feature.med_NACCAC]
|
396 |
+
type = "categorical"
|
397 |
+
num_categories = 2
|
398 |
+
|
399 |
+
[feature.med_NACCADEP]
|
400 |
+
type = "categorical"
|
401 |
+
num_categories = 2
|
402 |
+
|
403 |
+
[feature.med_NACCAPSY]
|
404 |
+
type = "categorical"
|
405 |
+
num_categories = 2
|
406 |
+
|
407 |
+
[feature.med_NACCAANX]
|
408 |
+
type = "categorical"
|
409 |
+
num_categories = 2
|
410 |
+
|
411 |
+
[feature.med_NACCADMD]
|
412 |
+
type = "categorical"
|
413 |
+
num_categories = 2
|
414 |
+
|
415 |
+
[feature.med_NACCPDMD]
|
416 |
+
type = "categorical"
|
417 |
+
num_categories = 2
|
418 |
+
|
419 |
+
[feature.med_NACCEMD]
|
420 |
+
type = "categorical"
|
421 |
+
num_categories = 2
|
422 |
+
|
423 |
+
[feature.med_NACCEPMD]
|
424 |
+
type = "categorical"
|
425 |
+
num_categories = 2
|
426 |
+
|
427 |
+
[feature.med_NACCDBMD]
|
428 |
+
type = "categorical"
|
429 |
+
num_categories = 2
|
430 |
+
|
431 |
+
[feature.ph_VISION]
|
432 |
+
type = "categorical"
|
433 |
+
num_categories = 2
|
434 |
+
|
435 |
+
[feature.ph_VISCORR]
|
436 |
+
type = "categorical"
|
437 |
+
num_categories = 2
|
438 |
+
|
439 |
+
[feature.ph_VISWCORR]
|
440 |
+
type = "categorical"
|
441 |
+
num_categories = 2
|
442 |
+
|
443 |
+
[feature.ph_HEARING]
|
444 |
+
type = "categorical"
|
445 |
+
num_categories = 2
|
446 |
+
|
447 |
+
[feature.ph_HEARAID]
|
448 |
+
type = "categorical"
|
449 |
+
num_categories = 2
|
450 |
+
|
451 |
+
[feature.ph_HEARWAID]
|
452 |
+
type = "categorical"
|
453 |
+
num_categories = 2
|
454 |
+
|
455 |
+
[feature.cvd_ABRUPT]
|
456 |
+
type = "categorical"
|
457 |
+
num_categories = 2
|
458 |
+
|
459 |
+
[feature.cvd_STEPWISE]
|
460 |
+
type = "categorical"
|
461 |
+
num_categories = 2
|
462 |
+
|
463 |
+
[feature.cvd_SOMATIC]
|
464 |
+
type = "categorical"
|
465 |
+
num_categories = 2
|
466 |
+
|
467 |
+
[feature.cvd_EMOT]
|
468 |
+
type = "categorical"
|
469 |
+
num_categories = 2
|
470 |
+
|
471 |
+
[feature.cvd_HXHYPER]
|
472 |
+
type = "categorical"
|
473 |
+
num_categories = 2
|
474 |
+
|
475 |
+
[feature.cvd_HXSTROKE]
|
476 |
+
type = "categorical"
|
477 |
+
num_categories = 2
|
478 |
+
|
479 |
+
[feature.cvd_FOCLSYM]
|
480 |
+
type = "categorical"
|
481 |
+
num_categories = 2
|
482 |
+
|
483 |
+
[feature.cvd_FOCLSIGN]
|
484 |
+
type = "categorical"
|
485 |
+
num_categories = 2
|
486 |
+
|
487 |
+
[feature.cvd_CVDCOG]
|
488 |
+
type = "categorical"
|
489 |
+
num_categories = 2
|
490 |
+
|
491 |
+
[feature.cvd_STROKCOG]
|
492 |
+
type = "categorical"
|
493 |
+
num_categories = 2
|
494 |
+
|
495 |
+
[feature.cvd_CVDIMAG]
|
496 |
+
type = "categorical"
|
497 |
+
num_categories = 2
|
498 |
+
|
499 |
+
[feature.cvd_CVDIMAG1]
|
500 |
+
type = "categorical"
|
501 |
+
num_categories = 2
|
502 |
+
|
503 |
+
[feature.cvd_CVDIMAG2]
|
504 |
+
type = "categorical"
|
505 |
+
num_categories = 2
|
506 |
+
|
507 |
+
[feature.cvd_CVDIMAG3]
|
508 |
+
type = "categorical"
|
509 |
+
num_categories = 2
|
510 |
+
|
511 |
+
[feature.cvd_CVDIMAG4]
|
512 |
+
type = "categorical"
|
513 |
+
num_categories = 2
|
514 |
+
|
515 |
+
[feature.updrs_PDNORMAL]
|
516 |
+
type = "categorical"
|
517 |
+
num_categories = 2
|
518 |
+
|
519 |
+
[feature.updrs_SPEECH]
|
520 |
+
type = "categorical"
|
521 |
+
num_categories = 6
|
522 |
+
|
523 |
+
[feature.updrs_FACEXP]
|
524 |
+
type = "categorical"
|
525 |
+
num_categories = 6
|
526 |
+
|
527 |
+
[feature.updrs_TRESTFAC]
|
528 |
+
type = "categorical"
|
529 |
+
num_categories = 6
|
530 |
+
|
531 |
+
[feature.updrs_TRESTRHD]
|
532 |
+
type = "categorical"
|
533 |
+
num_categories = 6
|
534 |
+
|
535 |
+
[feature.updrs_TRESTLHD]
|
536 |
+
type = "categorical"
|
537 |
+
num_categories = 6
|
538 |
+
|
539 |
+
[feature.updrs_TRESTRFT]
|
540 |
+
type = "categorical"
|
541 |
+
num_categories = 6
|
542 |
+
|
543 |
+
[feature.updrs_TRESTLFT]
|
544 |
+
type = "categorical"
|
545 |
+
num_categories = 6
|
546 |
+
|
547 |
+
[feature.updrs_TRACTRHD]
|
548 |
+
type = "categorical"
|
549 |
+
num_categories = 6
|
550 |
+
|
551 |
+
[feature.updrs_TRACTLHD]
|
552 |
+
type = "categorical"
|
553 |
+
num_categories = 6
|
554 |
+
|
555 |
+
[feature.updrs_RIGDNECK]
|
556 |
+
type = "categorical"
|
557 |
+
num_categories = 6
|
558 |
+
|
559 |
+
[feature.updrs_RIGDUPRT]
|
560 |
+
type = "categorical"
|
561 |
+
num_categories = 6
|
562 |
+
|
563 |
+
[feature.updrs_RIGDUPLF]
|
564 |
+
type = "categorical"
|
565 |
+
num_categories = 6
|
566 |
+
|
567 |
+
[feature.updrs_RIGDLORT]
|
568 |
+
type = "categorical"
|
569 |
+
num_categories = 6
|
570 |
+
|
571 |
+
[feature.updrs_RIGDLOLF]
|
572 |
+
type = "categorical"
|
573 |
+
num_categories = 6
|
574 |
+
|
575 |
+
[feature.updrs_TAPSRT]
|
576 |
+
type = "categorical"
|
577 |
+
num_categories = 6
|
578 |
+
|
579 |
+
[feature.updrs_TAPSLF]
|
580 |
+
type = "categorical"
|
581 |
+
num_categories = 6
|
582 |
+
|
583 |
+
[feature.updrs_HANDMOVR]
|
584 |
+
type = "categorical"
|
585 |
+
num_categories = 6
|
586 |
+
|
587 |
+
[feature.updrs_HANDMOVL]
|
588 |
+
type = "categorical"
|
589 |
+
num_categories = 6
|
590 |
+
|
591 |
+
[feature.updrs_HANDALTR]
|
592 |
+
type = "categorical"
|
593 |
+
num_categories = 6
|
594 |
+
|
595 |
+
[feature.updrs_HANDALTL]
|
596 |
+
type = "categorical"
|
597 |
+
num_categories = 6
|
598 |
+
|
599 |
+
[feature.updrs_LEGRT]
|
600 |
+
type = "categorical"
|
601 |
+
num_categories = 6
|
602 |
+
|
603 |
+
[feature.updrs_LEGLF]
|
604 |
+
type = "categorical"
|
605 |
+
num_categories = 6
|
606 |
+
|
607 |
+
[feature.updrs_ARISING]
|
608 |
+
type = "categorical"
|
609 |
+
num_categories = 6
|
610 |
+
|
611 |
+
[feature.updrs_POSTURE]
|
612 |
+
type = "categorical"
|
613 |
+
num_categories = 6
|
614 |
+
|
615 |
+
[feature.updrs_GAIT]
|
616 |
+
type = "categorical"
|
617 |
+
num_categories = 6
|
618 |
+
|
619 |
+
[feature.updrs_POSSTAB]
|
620 |
+
type = "categorical"
|
621 |
+
num_categories = 6
|
622 |
+
|
623 |
+
[feature.updrs_BRADYKIN]
|
624 |
+
type = "categorical"
|
625 |
+
num_categories = 6
|
626 |
+
|
627 |
+
[feature.npiq_NPIQINF]
|
628 |
+
type = "categorical"
|
629 |
+
num_categories = 3
|
630 |
+
|
631 |
+
[feature.npiq_DEL]
|
632 |
+
type = "categorical"
|
633 |
+
num_categories = 4
|
634 |
+
|
635 |
+
[feature.npiq_HALL]
|
636 |
+
type = "categorical"
|
637 |
+
num_categories = 4
|
638 |
+
|
639 |
+
[feature.npiq_AGIT]
|
640 |
+
type = "categorical"
|
641 |
+
num_categories = 4
|
642 |
+
|
643 |
+
[feature.npiq_DEPD]
|
644 |
+
type = "categorical"
|
645 |
+
num_categories = 4
|
646 |
+
|
647 |
+
[feature.npiq_ANX]
|
648 |
+
type = "categorical"
|
649 |
+
num_categories = 4
|
650 |
+
|
651 |
+
[feature.npiq_ELAT]
|
652 |
+
type = "categorical"
|
653 |
+
num_categories = 4
|
654 |
+
|
655 |
+
[feature.npiq_APA]
|
656 |
+
type = "categorical"
|
657 |
+
num_categories = 4
|
658 |
+
|
659 |
+
[feature.npiq_DISN]
|
660 |
+
type = "categorical"
|
661 |
+
num_categories = 4
|
662 |
+
|
663 |
+
[feature.npiq_IRR]
|
664 |
+
type = "categorical"
|
665 |
+
num_categories = 4
|
666 |
+
|
667 |
+
[feature.npiq_MOT]
|
668 |
+
type = "categorical"
|
669 |
+
num_categories = 4
|
670 |
+
|
671 |
+
[feature.npiq_NITE]
|
672 |
+
type = "categorical"
|
673 |
+
num_categories = 4
|
674 |
+
|
675 |
+
[feature.npiq_APP]
|
676 |
+
type = "categorical"
|
677 |
+
num_categories = 4
|
678 |
+
|
679 |
+
[feature.gds_NOGDS]
|
680 |
+
type = "categorical"
|
681 |
+
num_categories = 2
|
682 |
+
|
683 |
+
[feature.gds_SATIS]
|
684 |
+
type = "categorical"
|
685 |
+
num_categories = 2
|
686 |
+
|
687 |
+
[feature.gds_DROPACT]
|
688 |
+
type = "categorical"
|
689 |
+
num_categories = 2
|
690 |
+
|
691 |
+
[feature.gds_EMPTY]
|
692 |
+
type = "categorical"
|
693 |
+
num_categories = 2
|
694 |
+
|
695 |
+
[feature.gds_BORED]
|
696 |
+
type = "categorical"
|
697 |
+
num_categories = 2
|
698 |
+
|
699 |
+
[feature.gds_SPIRITS]
|
700 |
+
type = "categorical"
|
701 |
+
num_categories = 2
|
702 |
+
|
703 |
+
[feature.gds_AFRAID]
|
704 |
+
type = "categorical"
|
705 |
+
num_categories = 2
|
706 |
+
|
707 |
+
[feature.gds_HAPPY]
|
708 |
+
type = "categorical"
|
709 |
+
num_categories = 2
|
710 |
+
|
711 |
+
[feature.gds_HELPLESS]
|
712 |
+
type = "categorical"
|
713 |
+
num_categories = 2
|
714 |
+
|
715 |
+
[feature.gds_STAYHOME]
|
716 |
+
type = "categorical"
|
717 |
+
num_categories = 2
|
718 |
+
|
719 |
+
[feature.gds_MEMPROB]
|
720 |
+
type = "categorical"
|
721 |
+
num_categories = 2
|
722 |
+
|
723 |
+
[feature.gds_WONDRFUL]
|
724 |
+
type = "categorical"
|
725 |
+
num_categories = 2
|
726 |
+
|
727 |
+
[feature.gds_WRTHLESS]
|
728 |
+
type = "categorical"
|
729 |
+
num_categories = 2
|
730 |
+
|
731 |
+
[feature.gds_ENERGY]
|
732 |
+
type = "categorical"
|
733 |
+
num_categories = 2
|
734 |
+
|
735 |
+
[feature.gds_HOPELESS]
|
736 |
+
type = "categorical"
|
737 |
+
num_categories = 2
|
738 |
+
|
739 |
+
[feature.gds_BETTER]
|
740 |
+
type = "categorical"
|
741 |
+
num_categories = 2
|
742 |
+
|
743 |
+
[feature.faq_BILLS]
|
744 |
+
type = "categorical"
|
745 |
+
num_categories = 4
|
746 |
+
|
747 |
+
[feature.faq_TAXES]
|
748 |
+
type = "categorical"
|
749 |
+
num_categories = 4
|
750 |
+
|
751 |
+
[feature.faq_SHOPPING]
|
752 |
+
type = "categorical"
|
753 |
+
num_categories = 4
|
754 |
+
|
755 |
+
[feature.faq_GAMES]
|
756 |
+
type = "categorical"
|
757 |
+
num_categories = 4
|
758 |
+
|
759 |
+
[feature.faq_STOVE]
|
760 |
+
type = "categorical"
|
761 |
+
num_categories = 4
|
762 |
+
|
763 |
+
[feature.faq_MEALPREP]
|
764 |
+
type = "categorical"
|
765 |
+
num_categories = 4
|
766 |
+
|
767 |
+
[feature.faq_EVENTS]
|
768 |
+
type = "categorical"
|
769 |
+
num_categories = 4
|
770 |
+
|
771 |
+
[feature.faq_PAYATTN]
|
772 |
+
type = "categorical"
|
773 |
+
num_categories = 4
|
774 |
+
|
775 |
+
[feature.faq_REMDATES]
|
776 |
+
type = "categorical"
|
777 |
+
num_categories = 4
|
778 |
+
|
779 |
+
[feature.faq_TRAVEL]
|
780 |
+
type = "categorical"
|
781 |
+
num_categories = 4
|
782 |
+
|
783 |
+
[feature.exam_NACCNREX]
|
784 |
+
type = "categorical"
|
785 |
+
num_categories = 2
|
786 |
+
|
787 |
+
[feature.exam_NORMEXAM]
|
788 |
+
type = "categorical"
|
789 |
+
num_categories = 3
|
790 |
+
|
791 |
+
[feature.exam_FOCLDEF]
|
792 |
+
type = "categorical"
|
793 |
+
num_categories = 2
|
794 |
+
|
795 |
+
[feature.exam_GAITDIS]
|
796 |
+
type = "categorical"
|
797 |
+
num_categories = 2
|
798 |
+
|
799 |
+
[feature.exam_EYEMOVE]
|
800 |
+
type = "categorical"
|
801 |
+
num_categories = 2
|
802 |
+
|
803 |
+
[feature.exam_PARKSIGN]
|
804 |
+
type = "categorical"
|
805 |
+
num_categories = 2
|
806 |
+
|
807 |
+
[feature.exam_RESTTRL]
|
808 |
+
type = "categorical"
|
809 |
+
num_categories = 2
|
810 |
+
|
811 |
+
[feature.exam_RESTTRR]
|
812 |
+
type = "categorical"
|
813 |
+
num_categories = 2
|
814 |
+
|
815 |
+
[feature.exam_SLOWINGL]
|
816 |
+
type = "categorical"
|
817 |
+
num_categories = 2
|
818 |
+
|
819 |
+
[feature.exam_SLOWINGR]
|
820 |
+
type = "categorical"
|
821 |
+
num_categories = 2
|
822 |
+
|
823 |
+
[feature.exam_RIGIDL]
|
824 |
+
type = "categorical"
|
825 |
+
num_categories = 2
|
826 |
+
|
827 |
+
[feature.exam_RIGIDR]
|
828 |
+
type = "categorical"
|
829 |
+
num_categories = 2
|
830 |
+
|
831 |
+
[feature.exam_BRADY]
|
832 |
+
type = "categorical"
|
833 |
+
num_categories = 2
|
834 |
+
|
835 |
+
[feature.exam_PARKGAIT]
|
836 |
+
type = "categorical"
|
837 |
+
num_categories = 2
|
838 |
+
|
839 |
+
[feature.exam_POSTINST]
|
840 |
+
type = "categorical"
|
841 |
+
num_categories = 2
|
842 |
+
|
843 |
+
[feature.exam_CVDSIGNS]
|
844 |
+
type = "categorical"
|
845 |
+
num_categories = 2
|
846 |
+
|
847 |
+
[feature.exam_CORTDEF]
|
848 |
+
type = "categorical"
|
849 |
+
num_categories = 2
|
850 |
+
|
851 |
+
[feature.exam_SIVDFIND]
|
852 |
+
type = "categorical"
|
853 |
+
num_categories = 2
|
854 |
+
|
855 |
+
[feature.exam_CVDMOTL]
|
856 |
+
type = "categorical"
|
857 |
+
num_categories = 2
|
858 |
+
|
859 |
+
[feature.exam_CVDMOTR]
|
860 |
+
type = "categorical"
|
861 |
+
num_categories = 2
|
862 |
+
|
863 |
+
[feature.exam_CORTVISL]
|
864 |
+
type = "categorical"
|
865 |
+
num_categories = 2
|
866 |
+
|
867 |
+
[feature.exam_CORTVISR]
|
868 |
+
type = "categorical"
|
869 |
+
num_categories = 2
|
870 |
+
|
871 |
+
[feature.exam_SOMATL]
|
872 |
+
type = "categorical"
|
873 |
+
num_categories = 2
|
874 |
+
|
875 |
+
[feature.exam_SOMATR]
|
876 |
+
type = "categorical"
|
877 |
+
num_categories = 2
|
878 |
+
|
879 |
+
[feature.exam_POSTCORT]
|
880 |
+
type = "categorical"
|
881 |
+
num_categories = 2
|
882 |
+
|
883 |
+
[feature.exam_PSPCBS]
|
884 |
+
type = "categorical"
|
885 |
+
num_categories = 2
|
886 |
+
|
887 |
+
[feature.exam_EYEPSP]
|
888 |
+
type = "categorical"
|
889 |
+
num_categories = 2
|
890 |
+
|
891 |
+
[feature.exam_DYSPSP]
|
892 |
+
type = "categorical"
|
893 |
+
num_categories = 2
|
894 |
+
|
895 |
+
[feature.exam_AXIALPSP]
|
896 |
+
type = "categorical"
|
897 |
+
num_categories = 2
|
898 |
+
|
899 |
+
[feature.exam_GAITPSP]
|
900 |
+
type = "categorical"
|
901 |
+
num_categories = 2
|
902 |
+
|
903 |
+
[feature.exam_APRAXSP]
|
904 |
+
type = "categorical"
|
905 |
+
num_categories = 2
|
906 |
+
|
907 |
+
[feature.exam_APRAXL]
|
908 |
+
type = "categorical"
|
909 |
+
num_categories = 2
|
910 |
+
|
911 |
+
[feature.exam_APRAXR]
|
912 |
+
type = "categorical"
|
913 |
+
num_categories = 2
|
914 |
+
|
915 |
+
[feature.exam_CORTSENL]
|
916 |
+
type = "categorical"
|
917 |
+
num_categories = 2
|
918 |
+
|
919 |
+
[feature.exam_CORTSENR]
|
920 |
+
type = "categorical"
|
921 |
+
num_categories = 2
|
922 |
+
|
923 |
+
[feature.exam_ATAXL]
|
924 |
+
type = "categorical"
|
925 |
+
num_categories = 2
|
926 |
+
|
927 |
+
[feature.exam_ATAXR]
|
928 |
+
type = "categorical"
|
929 |
+
num_categories = 2
|
930 |
+
|
931 |
+
[feature.exam_ALIENLML]
|
932 |
+
type = "categorical"
|
933 |
+
num_categories = 2
|
934 |
+
|
935 |
+
[feature.exam_ALIENLMR]
|
936 |
+
type = "categorical"
|
937 |
+
num_categories = 2
|
938 |
+
|
939 |
+
[feature.exam_DYSTONL]
|
940 |
+
type = "categorical"
|
941 |
+
num_categories = 2
|
942 |
+
|
943 |
+
[feature.exam_DYSTONR]
|
944 |
+
type = "categorical"
|
945 |
+
num_categories = 2
|
946 |
+
|
947 |
+
[feature.exam_MYOCLLT]
|
948 |
+
type = "categorical"
|
949 |
+
num_categories = 2
|
950 |
+
|
951 |
+
[feature.exam_MYOCLRT]
|
952 |
+
type = "categorical"
|
953 |
+
num_categories = 2
|
954 |
+
|
955 |
+
[feature.exam_ALSFIND]
|
956 |
+
type = "categorical"
|
957 |
+
num_categories = 2
|
958 |
+
|
959 |
+
[feature.exam_GAITNPH]
|
960 |
+
type = "categorical"
|
961 |
+
num_categories = 2
|
962 |
+
|
963 |
+
[feature.exam_OTHNEUR]
|
964 |
+
type = "categorical"
|
965 |
+
num_categories = 2
|
966 |
+
|
967 |
+
[feature.bat_MMSECOMP]
|
968 |
+
type = "categorical"
|
969 |
+
num_categories = 2
|
970 |
+
|
971 |
+
[feature.bat_MMSELOC]
|
972 |
+
type = "categorical"
|
973 |
+
num_categories = 3
|
974 |
+
|
975 |
+
[feature.bat_MMSELAN]
|
976 |
+
type = "categorical"
|
977 |
+
num_categories = 3
|
978 |
+
|
979 |
+
[feature.bat_MMSEVIS]
|
980 |
+
type = "categorical"
|
981 |
+
num_categories = 2
|
982 |
+
|
983 |
+
[feature.bat_MMSEHEAR]
|
984 |
+
type = "categorical"
|
985 |
+
num_categories = 2
|
986 |
+
|
987 |
+
[feature.bat_NPSYCLOC]
|
988 |
+
type = "categorical"
|
989 |
+
num_categories = 3
|
990 |
+
|
991 |
+
[feature.bat_NPSYLAN]
|
992 |
+
type = "categorical"
|
993 |
+
num_categories = 3
|
994 |
+
|
995 |
+
[feature.bat_UDSBENRS]
|
996 |
+
type = "categorical"
|
997 |
+
num_categories = 2
|
998 |
+
|
999 |
+
[feature.bat_COGSTAT]
|
1000 |
+
type = "categorical"
|
1001 |
+
num_categories = 5
|
1002 |
+
|
1003 |
+
[feature.bat_MODCOMM]
|
1004 |
+
type = "categorical"
|
1005 |
+
num_categories = 3
|
1006 |
+
|
1007 |
+
[feature.bat_MOCACOMP]
|
1008 |
+
type = "categorical"
|
1009 |
+
num_categories = 2
|
1010 |
+
|
1011 |
+
[feature.bat_MOCAREAS]
|
1012 |
+
type = "categorical"
|
1013 |
+
num_categories = 4
|
1014 |
+
|
1015 |
+
[feature.bat_MOCALOC]
|
1016 |
+
type = "categorical"
|
1017 |
+
num_categories = 3
|
1018 |
+
|
1019 |
+
[feature.bat_MOCALAN]
|
1020 |
+
type = "categorical"
|
1021 |
+
num_categories = 3
|
1022 |
+
|
1023 |
+
[feature.bat_MOCAVIS]
|
1024 |
+
type = "categorical"
|
1025 |
+
num_categories = 2
|
1026 |
+
|
1027 |
+
[feature.bat_MOCAHEAR]
|
1028 |
+
type = "categorical"
|
1029 |
+
num_categories = 2
|
1030 |
+
|
1031 |
+
[feature.bat_CRAFTCUE]
|
1032 |
+
type = "categorical"
|
1033 |
+
num_categories = 2
|
1034 |
+
|
1035 |
+
[feature.bat_RESPVAL]
|
1036 |
+
type = "categorical"
|
1037 |
+
num_categories = 3
|
1038 |
+
|
1039 |
+
[feature.bat_RESPHEAR]
|
1040 |
+
type = "categorical"
|
1041 |
+
num_categories = 2
|
1042 |
+
|
1043 |
+
[feature.bat_RESPDIST]
|
1044 |
+
type = "categorical"
|
1045 |
+
num_categories = 2
|
1046 |
+
|
1047 |
+
[feature.bat_RESPINTR]
|
1048 |
+
type = "categorical"
|
1049 |
+
num_categories = 2
|
1050 |
+
|
1051 |
+
[feature.bat_RESPDISN]
|
1052 |
+
type = "categorical"
|
1053 |
+
num_categories = 2
|
1054 |
+
|
1055 |
+
[feature.bat_RESPFATG]
|
1056 |
+
type = "categorical"
|
1057 |
+
num_categories = 2
|
1058 |
+
|
1059 |
+
[feature.bat_RESPEMOT]
|
1060 |
+
type = "categorical"
|
1061 |
+
num_categories = 2
|
1062 |
+
|
1063 |
+
[feature.bat_RESPASST]
|
1064 |
+
type = "categorical"
|
1065 |
+
num_categories = 2
|
1066 |
+
|
1067 |
+
[feature.bat_RESPOTH]
|
1068 |
+
type = "categorical"
|
1069 |
+
num_categories = 2
|
1070 |
+
|
1071 |
+
[feature.apoe_NACCNE4S]
|
1072 |
+
type = "categorical"
|
1073 |
+
num_categories = 3
|
1074 |
+
|
1075 |
+
[feature.his_BIRTHMO]
|
1076 |
+
type = "categorical"
|
1077 |
+
num_categories = 13
|
1078 |
+
|
1079 |
+
[feature.his_PACKSPER]
|
1080 |
+
type = "categorical"
|
1081 |
+
num_categories = 6
|
1082 |
+
|
1083 |
+
[feature.bat_PENTAGON]
|
1084 |
+
type = "categorical"
|
1085 |
+
num_categories = 2
|
1086 |
+
|
1087 |
+
[feature.bat_LOGIMO]
|
1088 |
+
type = "categorical"
|
1089 |
+
num_categories = 13
|
1090 |
+
|
1091 |
+
[feature.bat_LOGIDAY]
|
1092 |
+
type = "categorical"
|
1093 |
+
num_categories = 32
|
1094 |
+
|
1095 |
+
[feature.bat_MOCATRAI]
|
1096 |
+
type = "categorical"
|
1097 |
+
num_categories = 2
|
1098 |
+
|
1099 |
+
[feature.bat_MOCACUBE]
|
1100 |
+
type = "categorical"
|
1101 |
+
num_categories = 2
|
1102 |
+
|
1103 |
+
[feature.bat_MOCACLOC]
|
1104 |
+
type = "categorical"
|
1105 |
+
num_categories = 2
|
1106 |
+
|
1107 |
+
[feature.bat_MOCACLON]
|
1108 |
+
type = "categorical"
|
1109 |
+
num_categories = 2
|
1110 |
+
|
1111 |
+
[feature.bat_MOCACLOH]
|
1112 |
+
type = "categorical"
|
1113 |
+
num_categories = 2
|
1114 |
+
|
1115 |
+
[feature.bat_MOCALETT]
|
1116 |
+
type = "categorical"
|
1117 |
+
num_categories = 2
|
1118 |
+
|
1119 |
+
[feature.bat_MOCAFLUE]
|
1120 |
+
type = "categorical"
|
1121 |
+
num_categories = 2
|
1122 |
+
|
1123 |
+
[feature.bat_MOCAORDT]
|
1124 |
+
type = "categorical"
|
1125 |
+
num_categories = 2
|
1126 |
+
|
1127 |
+
[feature.bat_MOCAORMO]
|
1128 |
+
type = "categorical"
|
1129 |
+
num_categories = 2
|
1130 |
+
|
1131 |
+
[feature.bat_MOCAORYR]
|
1132 |
+
type = "categorical"
|
1133 |
+
num_categories = 2
|
1134 |
+
|
1135 |
+
[feature.bat_MOCAORDY]
|
1136 |
+
type = "categorical"
|
1137 |
+
num_categories = 2
|
1138 |
+
|
1139 |
+
[feature.bat_MOCAORPL]
|
1140 |
+
type = "categorical"
|
1141 |
+
num_categories = 2
|
1142 |
+
|
1143 |
+
[feature.bat_MOCAORCT]
|
1144 |
+
type = "categorical"
|
1145 |
+
num_categories = 2
|
1146 |
+
|
1147 |
+
[feature.his_BIRTHYR]
|
1148 |
+
type = "numerical"
|
1149 |
+
shape = [1]
|
1150 |
+
|
1151 |
+
[feature.his_EDUC]
|
1152 |
+
type = "numerical"
|
1153 |
+
shape = [1]
|
1154 |
+
|
1155 |
+
[feature.his_NACCAGE]
|
1156 |
+
type = "numerical"
|
1157 |
+
shape = [1]
|
1158 |
+
|
1159 |
+
[feature.his_SMOKYRS]
|
1160 |
+
type = "numerical"
|
1161 |
+
shape = [1]
|
1162 |
+
|
1163 |
+
[feature.his_QUITSMOK]
|
1164 |
+
type = "numerical"
|
1165 |
+
shape = [1]
|
1166 |
+
|
1167 |
+
[feature.his_HATTYEAR]
|
1168 |
+
type = "numerical"
|
1169 |
+
shape = [1]
|
1170 |
+
|
1171 |
+
[feature.his_NACCSTYR]
|
1172 |
+
type = "numerical"
|
1173 |
+
shape = [1]
|
1174 |
+
|
1175 |
+
[feature.his_NACCTIYR]
|
1176 |
+
type = "numerical"
|
1177 |
+
shape = [1]
|
1178 |
+
|
1179 |
+
[feature.his_PDYR]
|
1180 |
+
type = "numerical"
|
1181 |
+
shape = [1]
|
1182 |
+
|
1183 |
+
[feature.his_PDOTHRYR]
|
1184 |
+
type = "numerical"
|
1185 |
+
shape = [1]
|
1186 |
+
|
1187 |
+
[feature.his_TBIYEAR]
|
1188 |
+
type = "numerical"
|
1189 |
+
shape = [1]
|
1190 |
+
|
1191 |
+
[feature.med_NACCAMD]
|
1192 |
+
type = "numerical"
|
1193 |
+
shape = [1]
|
1194 |
+
|
1195 |
+
[feature.ph_HEIGHT]
|
1196 |
+
type = "numerical"
|
1197 |
+
shape = [1]
|
1198 |
+
|
1199 |
+
[feature.ph_WEIGHT]
|
1200 |
+
type = "numerical"
|
1201 |
+
shape = [1]
|
1202 |
+
|
1203 |
+
[feature.ph_NACCBMI]
|
1204 |
+
type = "numerical"
|
1205 |
+
shape = [1]
|
1206 |
+
|
1207 |
+
[feature.ph_BPSYS]
|
1208 |
+
type = "numerical"
|
1209 |
+
shape = [1]
|
1210 |
+
|
1211 |
+
[feature.ph_BPDIAS]
|
1212 |
+
type = "numerical"
|
1213 |
+
shape = [1]
|
1214 |
+
|
1215 |
+
[feature.ph_HRATE]
|
1216 |
+
type = "numerical"
|
1217 |
+
shape = [1]
|
1218 |
+
|
1219 |
+
[feature.cvd_HACHIN]
|
1220 |
+
type = "numerical"
|
1221 |
+
shape = [1]
|
1222 |
+
|
1223 |
+
[feature.gds_NACCGDS]
|
1224 |
+
type = "numerical"
|
1225 |
+
shape = [1]
|
1226 |
+
|
1227 |
+
[feature.bat_MMSEORDA]
|
1228 |
+
type = "numerical"
|
1229 |
+
shape = [1]
|
1230 |
+
|
1231 |
+
[feature.bat_MMSEORLO]
|
1232 |
+
type = "numerical"
|
1233 |
+
shape = [1]
|
1234 |
+
|
1235 |
+
[feature.bat_NACCMMSE]
|
1236 |
+
type = "numerical"
|
1237 |
+
shape = [1]
|
1238 |
+
|
1239 |
+
[feature.bat_LOGIYR]
|
1240 |
+
type = "numerical"
|
1241 |
+
shape = [1]
|
1242 |
+
|
1243 |
+
[feature.bat_LOGIPREV]
|
1244 |
+
type = "numerical"
|
1245 |
+
shape = [1]
|
1246 |
+
|
1247 |
+
[feature.bat_LOGIMEM]
|
1248 |
+
type = "numerical"
|
1249 |
+
shape = [1]
|
1250 |
+
|
1251 |
+
[feature.bat_MEMUNITS]
|
1252 |
+
type = "numerical"
|
1253 |
+
shape = [1]
|
1254 |
+
|
1255 |
+
[feature.bat_MEMTIME]
|
1256 |
+
type = "numerical"
|
1257 |
+
shape = [1]
|
1258 |
+
|
1259 |
+
[feature.bat_UDSBENTC]
|
1260 |
+
type = "numerical"
|
1261 |
+
shape = [1]
|
1262 |
+
|
1263 |
+
[feature.bat_UDSBENTD]
|
1264 |
+
type = "numerical"
|
1265 |
+
shape = [1]
|
1266 |
+
|
1267 |
+
[feature.bat_DIGIF]
|
1268 |
+
type = "numerical"
|
1269 |
+
shape = [1]
|
1270 |
+
|
1271 |
+
[feature.bat_DIGIFLEN]
|
1272 |
+
type = "numerical"
|
1273 |
+
shape = [1]
|
1274 |
+
|
1275 |
+
[feature.bat_DIGIB]
|
1276 |
+
type = "numerical"
|
1277 |
+
shape = [1]
|
1278 |
+
|
1279 |
+
[feature.bat_DIGIBLEN]
|
1280 |
+
type = "numerical"
|
1281 |
+
shape = [1]
|
1282 |
+
|
1283 |
+
[feature.bat_ANIMALS]
|
1284 |
+
type = "numerical"
|
1285 |
+
shape = [1]
|
1286 |
+
|
1287 |
+
[feature.bat_VEG]
|
1288 |
+
type = "numerical"
|
1289 |
+
shape = [1]
|
1290 |
+
|
1291 |
+
[feature.bat_TRAILA]
|
1292 |
+
type = "numerical"
|
1293 |
+
shape = [1]
|
1294 |
+
|
1295 |
+
[feature.bat_TRAILARR]
|
1296 |
+
type = "numerical"
|
1297 |
+
shape = [1]
|
1298 |
+
|
1299 |
+
[feature.bat_TRAILALI]
|
1300 |
+
type = "numerical"
|
1301 |
+
shape = [1]
|
1302 |
+
|
1303 |
+
[feature.bat_TRAILB]
|
1304 |
+
type = "numerical"
|
1305 |
+
shape = [1]
|
1306 |
+
|
1307 |
+
[feature.bat_TRAILBRR]
|
1308 |
+
type = "numerical"
|
1309 |
+
shape = [1]
|
1310 |
+
|
1311 |
+
[feature.bat_TRAILBLI]
|
1312 |
+
type = "numerical"
|
1313 |
+
shape = [1]
|
1314 |
+
|
1315 |
+
[feature.bat_WAIS]
|
1316 |
+
type = "numerical"
|
1317 |
+
shape = [1]
|
1318 |
+
|
1319 |
+
[feature.bat_BOSTON]
|
1320 |
+
type = "numerical"
|
1321 |
+
shape = [1]
|
1322 |
+
|
1323 |
+
[feature.bat_UDSVERFC]
|
1324 |
+
type = "numerical"
|
1325 |
+
shape = [1]
|
1326 |
+
|
1327 |
+
[feature.bat_UDSVERFN]
|
1328 |
+
type = "numerical"
|
1329 |
+
shape = [1]
|
1330 |
+
|
1331 |
+
[feature.bat_UDSVERNF]
|
1332 |
+
type = "numerical"
|
1333 |
+
shape = [1]
|
1334 |
+
|
1335 |
+
[feature.bat_UDSVERLC]
|
1336 |
+
type = "numerical"
|
1337 |
+
shape = [1]
|
1338 |
+
|
1339 |
+
[feature.bat_UDSVERLR]
|
1340 |
+
type = "numerical"
|
1341 |
+
shape = [1]
|
1342 |
+
|
1343 |
+
[feature.bat_UDSVERLN]
|
1344 |
+
type = "numerical"
|
1345 |
+
shape = [1]
|
1346 |
+
|
1347 |
+
[feature.bat_UDSVERTN]
|
1348 |
+
type = "numerical"
|
1349 |
+
shape = [1]
|
1350 |
+
|
1351 |
+
[feature.bat_UDSVERTE]
|
1352 |
+
type = "numerical"
|
1353 |
+
shape = [1]
|
1354 |
+
|
1355 |
+
[feature.bat_UDSVERTI]
|
1356 |
+
type = "numerical"
|
1357 |
+
shape = [1]
|
1358 |
+
|
1359 |
+
[feature.bat_MOCATOTS]
|
1360 |
+
type = "numerical"
|
1361 |
+
shape = [1]
|
1362 |
+
|
1363 |
+
[feature.bat_NACCMOCA]
|
1364 |
+
type = "numerical"
|
1365 |
+
shape = [1]
|
1366 |
+
|
1367 |
+
[feature.bat_MOCANAMI]
|
1368 |
+
type = "numerical"
|
1369 |
+
shape = [1]
|
1370 |
+
|
1371 |
+
[feature.bat_MOCAREGI]
|
1372 |
+
type = "numerical"
|
1373 |
+
shape = [1]
|
1374 |
+
|
1375 |
+
[feature.bat_MOCADIGI]
|
1376 |
+
type = "numerical"
|
1377 |
+
shape = [1]
|
1378 |
+
|
1379 |
+
[feature.bat_MOCASER7]
|
1380 |
+
type = "numerical"
|
1381 |
+
shape = [1]
|
1382 |
+
|
1383 |
+
[feature.bat_MOCAREPE]
|
1384 |
+
type = "numerical"
|
1385 |
+
shape = [1]
|
1386 |
+
|
1387 |
+
[feature.bat_MOCAABST]
|
1388 |
+
type = "numerical"
|
1389 |
+
shape = [1]
|
1390 |
+
|
1391 |
+
[feature.bat_MOCARECN]
|
1392 |
+
type = "numerical"
|
1393 |
+
shape = [1]
|
1394 |
+
|
1395 |
+
[feature.bat_MOCARECC]
|
1396 |
+
type = "numerical"
|
1397 |
+
shape = [1]
|
1398 |
+
|
1399 |
+
[feature.bat_MOCARECR]
|
1400 |
+
type = "numerical"
|
1401 |
+
shape = [1]
|
1402 |
+
|
1403 |
+
[feature.bat_CRAFTVRS]
|
1404 |
+
type = "numerical"
|
1405 |
+
shape = [1]
|
1406 |
+
|
1407 |
+
[feature.bat_CRAFTURS]
|
1408 |
+
type = "numerical"
|
1409 |
+
shape = [1]
|
1410 |
+
|
1411 |
+
[feature.bat_DIGFORCT]
|
1412 |
+
type = "numerical"
|
1413 |
+
shape = [1]
|
1414 |
+
|
1415 |
+
[feature.bat_DIGFORSL]
|
1416 |
+
type = "numerical"
|
1417 |
+
shape = [1]
|
1418 |
+
|
1419 |
+
[feature.bat_DIGBACCT]
|
1420 |
+
type = "numerical"
|
1421 |
+
shape = [1]
|
1422 |
+
|
1423 |
+
[feature.bat_DIGBACLS]
|
1424 |
+
type = "numerical"
|
1425 |
+
shape = [1]
|
1426 |
+
|
1427 |
+
[feature.bat_CRAFTDVR]
|
1428 |
+
type = "numerical"
|
1429 |
+
shape = [1]
|
1430 |
+
|
1431 |
+
[feature.bat_CRAFTDRE]
|
1432 |
+
type = "numerical"
|
1433 |
+
shape = [1]
|
1434 |
+
|
1435 |
+
[feature.bat_CRAFTDTI]
|
1436 |
+
type = "numerical"
|
1437 |
+
shape = [1]
|
1438 |
+
|
1439 |
+
[feature.bat_MINTTOTS]
|
1440 |
+
type = "numerical"
|
1441 |
+
shape = [1]
|
1442 |
+
|
1443 |
+
[feature.bat_MINTTOTW]
|
1444 |
+
type = "numerical"
|
1445 |
+
shape = [1]
|
1446 |
+
|
1447 |
+
[feature.bat_MINTSCNG]
|
1448 |
+
type = "numerical"
|
1449 |
+
shape = [1]
|
1450 |
+
|
1451 |
+
[feature.bat_MINTSCNC]
|
1452 |
+
type = "numerical"
|
1453 |
+
shape = [1]
|
1454 |
+
|
1455 |
+
[feature.bat_MINTPCNG]
|
1456 |
+
type = "numerical"
|
1457 |
+
shape = [1]
|
1458 |
+
|
1459 |
+
[feature.bat_MINTPCNC]
|
1460 |
+
type = "numerical"
|
1461 |
+
shape = [1]
|
1462 |
+
|
1463 |
+
[feature.bat_MOCBTOTS]
|
1464 |
+
type = "numerical"
|
1465 |
+
shape = [1]
|
1466 |
+
|
1467 |
+
[feature.bat_NACCMOCB]
|
1468 |
+
type = "numerical"
|
1469 |
+
shape = [1]
|
1470 |
+
|
1471 |
+
[feature.bat_REY1REC]
|
1472 |
+
type = "numerical"
|
1473 |
+
shape = [1]
|
1474 |
+
|
1475 |
+
[feature.bat_REY1INT]
|
1476 |
+
type = "numerical"
|
1477 |
+
shape = [1]
|
1478 |
+
|
1479 |
+
[feature.bat_REY2REC]
|
1480 |
+
type = "numerical"
|
1481 |
+
shape = [1]
|
1482 |
+
|
1483 |
+
[feature.bat_REY2INT]
|
1484 |
+
type = "numerical"
|
1485 |
+
shape = [1]
|
1486 |
+
|
1487 |
+
[feature.bat_REY3REC]
|
1488 |
+
type = "numerical"
|
1489 |
+
shape = [1]
|
1490 |
+
|
1491 |
+
[feature.bat_REY3INT]
|
1492 |
+
type = "numerical"
|
1493 |
+
shape = [1]
|
1494 |
+
|
1495 |
+
[feature.bat_REY4REC]
|
1496 |
+
type = "numerical"
|
1497 |
+
shape = [1]
|
1498 |
+
|
1499 |
+
[feature.bat_REY4INT]
|
1500 |
+
type = "numerical"
|
1501 |
+
shape = [1]
|
1502 |
+
|
1503 |
+
[feature.bat_REY5REC]
|
1504 |
+
type = "numerical"
|
1505 |
+
shape = [1]
|
1506 |
+
|
1507 |
+
[feature.bat_REY5INT]
|
1508 |
+
type = "numerical"
|
1509 |
+
shape = [1]
|
1510 |
+
|
1511 |
+
[feature.bat_REY6REC]
|
1512 |
+
type = "numerical"
|
1513 |
+
shape = [1]
|
1514 |
+
|
1515 |
+
[feature.bat_REY6INT]
|
1516 |
+
type = "numerical"
|
1517 |
+
shape = [1]
|
1518 |
+
|
1519 |
+
[feature.bat_OTRAILA]
|
1520 |
+
type = "numerical"
|
1521 |
+
shape = [1]
|
1522 |
+
|
1523 |
+
[feature.bat_OTRLARR]
|
1524 |
+
type = "numerical"
|
1525 |
+
shape = [1]
|
1526 |
+
|
1527 |
+
[feature.bat_OTRLALI]
|
1528 |
+
type = "numerical"
|
1529 |
+
shape = [1]
|
1530 |
+
|
1531 |
+
[feature.bat_OTRAILB]
|
1532 |
+
type = "numerical"
|
1533 |
+
shape = [1]
|
1534 |
+
|
1535 |
+
[feature.bat_OTRLBRR]
|
1536 |
+
type = "numerical"
|
1537 |
+
shape = [1]
|
1538 |
+
|
1539 |
+
[feature.bat_OTRLBLI]
|
1540 |
+
type = "numerical"
|
1541 |
+
shape = [1]
|
1542 |
+
|
1543 |
+
[feature.bat_REYDREC]
|
1544 |
+
type = "numerical"
|
1545 |
+
shape = [1]
|
1546 |
+
|
1547 |
+
[feature.bat_REYDINT]
|
1548 |
+
type = "numerical"
|
1549 |
+
shape = [1]
|
1550 |
+
|
1551 |
+
[feature.bat_REYTCOR]
|
1552 |
+
type = "numerical"
|
1553 |
+
shape = [1]
|
1554 |
+
|
1555 |
+
[feature.bat_REYFPOS]
|
1556 |
+
type = "numerical"
|
1557 |
+
shape = [1]
|
1558 |
+
|
1559 |
+
[feature.bat_VNTTOTW]
|
1560 |
+
type = "numerical"
|
1561 |
+
shape = [1]
|
1562 |
+
|
1563 |
+
[feature.bat_VNTPCNC]
|
1564 |
+
type = "numerical"
|
1565 |
+
shape = [1]
|
1566 |
+
|
1567 |
+
[labels]
|
1568 |
+
|
1569 |
+
[label.NC]
|
1570 |
+
type = "categorical"
|
1571 |
+
num_categories = 2
|
1572 |
+
|
1573 |
+
[label.MCI]
|
1574 |
+
type = "categorical"
|
1575 |
+
num_categories = 2
|
1576 |
+
|
1577 |
+
[label.DE]
|
1578 |
+
type = "categorical"
|
1579 |
+
num_categories = 2
|
1580 |
+
|
1581 |
+
[label.AD]
|
1582 |
+
type = "categorical"
|
1583 |
+
num_categories = 2
|
1584 |
+
|
1585 |
+
[label.LBD]
|
1586 |
+
type = "categorical"
|
1587 |
+
num_categories = 2
|
1588 |
+
|
1589 |
+
[label.VD]
|
1590 |
+
type = "categorical"
|
1591 |
+
num_categories = 2
|
1592 |
+
|
1593 |
+
[label.PRD]
|
1594 |
+
type = "categorical"
|
1595 |
+
num_categories = 2
|
1596 |
+
|
1597 |
+
[label.FTD]
|
1598 |
+
type = "categorical"
|
1599 |
+
num_categories = 2
|
1600 |
+
|
1601 |
+
[label.NPH]
|
1602 |
+
type = "categorical"
|
1603 |
+
num_categories = 2
|
1604 |
+
|
1605 |
+
[label.SEF]
|
1606 |
+
type = "categorical"
|
1607 |
+
num_categories = 2
|
1608 |
+
|
1609 |
+
[label.PSY]
|
1610 |
+
type = "categorical"
|
1611 |
+
num_categories = 2
|
1612 |
+
|
1613 |
+
[label.TBI]
|
1614 |
+
type = "categorical"
|
1615 |
+
num_categories = 2
|
1616 |
+
|
1617 |
+
[label.ODE]
|
1618 |
+
type = "categorical"
|
1619 |
+
num_categories = 2
|
1620 |
+
|
data/nacc_test_with_np_cli.csv
ADDED
The diff for this file is too large to render.
See raw diff
|
|