kimsiun/clinical_trial_eligibility_crietria_recommendation
This repository is a public repository of the data used in the paper "CReSE: Enhancing Clinical Trial Design via Contrastive Learning and Rephrasing-based and Clinical Relevance-preserving Sentence Embedding" (under review). There are three main types of data stored in the repository. Positive-negative EC-title pairs: A dataset that pairs the ECs used in a study with the study's title and other design information. It can be used to train EC recommendation models (binary classification).… See the full description on the dataset page: https://huggingface.co/datasets/kimsiun/clinical_trial_eligib
| Author / organization | kimsiun |
|---|---|
| License (as declared) | mit |
| Downloads | 152 (as reported by Hugging Face) |
| Likes | 1 |
| Created | 11 October 2023 |
| Last updated at source | 11 October 2023 |
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