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  license: cc-by-nc-sa-4.0
 
 
 
 
 
 
 
 
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  license: cc-by-nc-sa-4.0
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+ language:
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+ - en
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+ tags:
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+ - information retrieval
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+ - patient similarity
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+ - clinical decision support
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+ size_categories:
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+ - 100K<n<1M
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  ---
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+
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+ # Dataset Card for PMC-Patients
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+
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+ ## Dataset Description
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+
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+ - **Homepage:**
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+ - **Repository:**
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+ - **Paper:**
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+ - **Leaderboard:**
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+ - **Point of Contact:**
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+
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+ ### Dataset Summary
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+
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+ **PMC-Patients** is a first-of-its-kind dataset consisting of 167k patient summaries extracted from case reports in PubMed Central (PMC), 3.1M patient-article relevance and 293k patient-patient similarity annotations defined by PubMed citation graph.
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+
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+ ### Supported Tasks and Leaderboards
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+
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+ Based on PMC-Patients, we define two tasks to benchmark Retrieval-based Clinical Decision Support (ReCDS) systems: Patient-to-Article Retrieval (PAR) and Patient-to-Patient Retrieval (PPR).
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+ For details, please refer to [our paper](https://arxiv.org/pdf/2202.13876.pdf) and [leaderboard](https://pmc-patients.github.io/).
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+
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+ ### Languages
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+
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+ English (en).
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+
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+ ## Dataset Structure
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+
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+ ### PMC-Paitents.json
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+
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+ This file contains all information about patients summaries in PMC-Patients, which is a list of dict with keys:
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+
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+ - `patient_id`: string. A continuous id of patients, starting from 0.
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+ - `patient_uid`: string. Unique ID for each patient, with format PMID-x, where PMID is the PubMed Identifier of the source article of the patient and x denotes index of the patient in source article.
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+ - `PMID`: string. PMID for source article.
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+ - `file_path`: string. File path of xml file of source article.
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+ - `title`: string. Source article title.
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+ - `patient`: string. Patient summary.
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+ - `age`: list of tuples. Each entry is in format `(value, unit)` where value is a float number and unit is in 'year', 'month', 'week', 'day' and 'hour' indicating age unit. For example, `[[1.0, 'year'], [2.0, 'month']]` indicating the patient is a one-year- and two-month-old infant.
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+ - `gender`: 'M' or 'F'. Male or Female.
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+
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+ ### PAR & PPR Datasets
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+
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+ We present data of the two retrieval tasks in exactly the same format as [BEIR](https://github.com/beir-cellar/beir/wiki/Load-your-custom-dataset). we refer the readers to their wiki page for the data format.
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+
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+ The PAR and PPR tasks share queries and query splits. The `_id` field for queries and PPR corpus is `patient_uid` in PMC-Patients, and the `_id` for PAR corpus is the PMID of the article.
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+
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+ ### Data Instances
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+
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+ [More Information Needed]
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+
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+ ### Data Fields
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+
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+ [More Information Needed]
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+
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+ ### Data Splits
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+
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+ [More Information Needed]
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+
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+ ## Dataset Creation
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+
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+ If you are interested in the collection of PMC-Patients and reproducing our baselines, please refer to [this reporsitory](https://github.com/zhao-zy15/PMC-Patients).
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+
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+ ### Citation Information
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+
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+ If you find PMC-Patients helpful in your research, please cite our work by:
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+ ```
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+ @misc{zhao2023pmcpatients,
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+ title={PMC-Patients: A Large-scale Dataset of Patient Summaries and Relations for Benchmarking Retrieval-based Clinical Decision Support Systems},
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+ author={Zhengyun Zhao and Qiao Jin and Fangyuan Chen and Tuorui Peng and Sheng Yu},
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+ year={2023},
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+ eprint={2202.13876},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.CL}
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+ }
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+ ```