Cohort selection for clinical trials using deep learning models

Autor: Isabel Segura-Bedmar, Pablo Raez

Publikováno v: e-Archivo: Repositorio Institucional de la Universidad Carlos III de Madrid
Universidad Carlos III de Madrid (UC3M)
Journal of the American Medical Informatics Association : JAMIA
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
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Objective The goal of the 2018 n2c2 shared task on cohort selection for clinical trials (track 1) is to identify which patients meet the selection criteria for clinical trials. Cohort selection is a particularly demanding task to which natural langua

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::df7f9e30d089dea08e10f242c531dddb
https://doi.org/10.1093/jamia/ocz139