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Dataset Information

Medical concept normalization in clinical trials with drug and disease representation learning.


ABSTRACT:

Motivation

Clinical trials are the essential stage of every drug development program for the treatment to become available to patients. Despite the importance of well-structured clinical trial databases and their tremendous value for drug discovery and development such instances are very rare. Presently large-scale information on clinical trials is stored in clinical trial registers which are relatively structured, but the mappings to external databases of drugs and diseases are increasingly lacking. The precise production of such links would enable us to interrogate richer harmonized datasets for invaluable insights.

Results

We present a neural approach for medical concept normalization of diseases and drugs. Our two-stage approach is based on Bidirectional Encoder Represen

SUBMITTER: Miftahutdinov Z 

PROVIDER: S-EPMC8570806 | biostudies-literature | 2021 Nov

REPOSITORIES: biostudies-literature