| | --- |
| | license: cc-by-nc-sa-4.0 |
| | language: |
| | - en |
| | tags: |
| | - medical |
| | size_categories: |
| | - 100K<n<1M |
| | --- |
| | |
| | Meta data for PMC-Patients that might facilitate reproduction or usage of our dataset, consisting of the following files (most of which can be derived from our main files above). |
| |
|
| | ## PMIDs.json |
| |
|
| | PMIDs of articles from which PMC-Patients are extracted. |
| | List of string, length 140,897. |
| |
|
| | ## train_PMIDs.json & dev_PMIDs.json & test_PMIDs.json |
| | |
| | PMIDs of articles in training / dev / test split. |
| | List of string. |
| | |
| | ## train_patient_uids.json & dev_patient_uids.json & test_patient_uids.json |
| | |
| | Patient_uids of notes in training / dev / test split. |
| | List of string. |
| |
|
| | ## patient2article_relevance.json |
| | |
| | Full patient-to-article dataset. |
| | A dict where the keys are `patient_uid` of queries and each entry is a list of `PMID`, representing articles relevant to the query. |
| |
|
| | The 3-point relevance can be obtained by checking whether the `PMID` is in `PMIDs.json`. |
| |
|
| | ## patient2patient_similarity.json |
| | |
| | Full patient-to-patient similarity dataset. |
| | A dict where the keys are `patient_uid` of queries and each entry is a list of `patient_uid`, representing similar patients to the query. |
| | |
| | The 3-point similarity can be obtained by checking whether the similar patient share the `PMID` (the string before '-' in `patient_uid`) with the query patient. |
| |
|
| |
|
| | ## PMID2Mesh.json |
| |
|
| | Dict of PMIDs to MeSH terms of the article. |
| |
|
| | ## MeSH_Humans_patient_uids.json |
| | |
| | `patient_uid` of the patients in PMC-Patients-Humans (extracted from articles with "Humans" MeSH term). |
| | List of string. |
| |
|
| | ## PMC-Patients_citations.json |
| | |
| | Citations for all articles we used to collect our dataset. |
| | A dict where the keys are `patient_uid` and each entry is the citation of the source article. |
| |
|
| | ## human_PMIDs.json |
| | |
| | PMIDs of the 500 randomly sampled articles for human evaluation. |
| | List of string. |
| | |
| | ## PMC-Patients_human_eval.json |
| | |
| | Expert annotation results of the 500 articles in `human_PMIDs.json`, including manually annotated patient note, demographics, and relations of the top 5 retrieved articles / patients. |
| | List of dict, and the keys are almost identical to `PMC-Patients.json`, with the exception of `human_patient_id` and `human_patient_uid`. |
| |
|
| | The relational annotations are different from automatic ones. They are strings indicating on which dimension(s) are the patient-article / patient-patient pair relevant / similar. |
| | "0", "1", "2", and "3" represent "Irrelevant", "Diagnosis", "Test", "Treatment" in ReCDS-PAR, and represent "Dissimilar", "Features", "Outcomes", "Exposure" in ReCDS-PPR. |
| | Note that a pair can be relevant / similar on multiple dimensions at the same time. |
| |
|
| | ## PAR_PMIDs.json |
| | |
| | PMIDs of the 11.7M articles used as PAR corpus. |
| | List of string. |
| | |
| | |