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Trial2Vec: Zero-Shot Clinical Trial Document Similarity Search using Self-Supervision. (arXiv:2206.14719v2 [cs.CL] UPDATED)
Oct. 11, 2022, 1:19 a.m. | Zifeng Wang, Jimeng Sun
cs.CL updates on arXiv.org arxiv.org
Clinical trials are essential for drug development but are extremely
expensive and time-consuming to conduct. It is beneficial to study similar
historical trials when designing a clinical trial. However, lengthy trial
documents and lack of labeled data make trial similarity search difficult. We
propose a zero-shot clinical trial retrieval method, Trial2Vec, which learns
through self-supervision without annotating similar clinical trials.
Specifically, the meta-structure of trial documents (e.g., title, eligibility
criteria, target disease) along with clinical knowledge (e.g., UMLS knowledge
base …
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