1.
AMIA Jt Summits Transl Sci Proc
; 2024: 125-134, 2024.
Artigo
em Inglês
| MEDLINE
| ID: mdl-38827083
RESUMO
Clinical trials are critical to many medical advances; however, recruiting patients remains a persistent obstacle. Automated clinical trial matching could expedite recruitment across all trial phases. We detail our initial efforts towards automating the matching process by linking realistic synthetic electronic health records to clinical trial eligibility criteria using natural language processing methods. We also demonstrate how the Sørensen-Dice Index can be adapted to quantify match quality between a patient and a clinical trial.