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--- |
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license: cc-by-4.0 |
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task_categories: |
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- text-classification |
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language: |
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- en |
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tags: |
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- medical |
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- systematic-review |
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- research-papers |
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pretty_name: Combined Medical Systematic Reviews |
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size_categories: |
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- 1K<n<10K |
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--- |
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# 🏥 Combined Medical Systematic Reviews Dataset |
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## Dataset Description |
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This dataset combines 23 systematic review datasets from various medical domains, totaling 135 papers. The dataset includes papers from systematic reviews in fields such as virology, dementia, anxiety disorders, and general medical research. |
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### Data Fields |
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The dataset includes the following standardized fields: |
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- `title`: The title of the paper |
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- `abstract`: The paper's abstract |
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- `year`: Publication year (when available, -1 if not available) |
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- `dataset_name`: The source dataset name |
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- `dataset_domain`: The medical domain of the source dataset |
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### Source Datasets |
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The following datasets were combined (sorted by number of papers): |
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| Dataset | Papers | Domain | |
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|---------|---------|---------| |
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| kwok_2020 | 6 | medical | |
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| wolters_2018 | 6 | medical | |
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| bos_2018 | 6 | medical | |
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| bannach-brown_2019 | 6 | medical | |
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| van_dis_2020 | 6 | medical | |
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| donners_2021 | 6 | medical | |
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| muthu_2021 | 6 | medical | |
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| leenaars_2020 | 6 | medical | |
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| jeyaraman_2020 | 6 | medical | |
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| meijboom_2021 | 6 | medical | |
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| menon_2022 | 6 | medical | |
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| smid_2020 | 6 | medical | |
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| welling_2021 | 6 | medical | |
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| appenzeller-herzog_2019 | 6 | medical | |
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| moran_2021 | 6 | medical | |
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| van_der_waal_2022 | 6 | medical | |
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| oud_2018 | 6 | medical | |
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| leenaars_2019 | 6 | medical | |
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| van_de_schoot_2018 | 6 | medical | |
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| van_der_valk_2021 | 6 | medical | |
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| sep_2021 | 6 | medical | |
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| muthu_2022 | 5 | medical | |
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| brouwer_2019 | 4 | medical | |
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### Usage |
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```python |
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from datasets import load_dataset |
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# Load the dataset |
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dataset = load_dataset("sumuks/combined_medical_reviews") |
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# Access the papers |
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papers = dataset["train"] |
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# Example: Get papers from a specific domain |
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dementia_papers = papers.filter(lambda x: "dementia" in x["dataset_domain"].lower()) |
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# Example: Get papers from a specific year |
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papers_2020 = papers.filter(lambda x: x["year"] == 2020) |
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``` |
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### Dataset Creation |
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This dataset was created by: |
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1. Collecting systematic review datasets from the [ASReview SYNERGY dataset](https://github.com/asreview/synergy-dataset) |
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2. Fetching paper metadata (title, abstract, year) from OpenAlex API |
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3. Standardizing and combining the data into a single dataset |
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4. Removing duplicates based on title and abstract |
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### Limitations |
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- The dataset contains only a sample of papers from each source dataset |
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- Some papers may be missing abstracts or other metadata |
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- The dataset focuses on English-language papers |
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- The quality of metadata depends on OpenAlex data |
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### Citation |
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When using this dataset, please cite both this dataset and the original ASReview SYNERGY dataset: |
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```bibtex |
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@misc{combined_medical_reviews, |
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title = {Combined Medical Systematic Reviews Dataset}, |
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author = {OpenHands AI}, |
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year = {2024}, |
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publisher = {Hugging Face}, |
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url = {https://huggingface.co/datasets/sumuks/combined_medical_reviews} |
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} |
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``` |
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### License |
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This dataset is released under CC-BY 4.0 license. The data inherits licenses from: |
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1. ASReview SYNERGY dataset |
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2. OpenAlex API data |
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