Clinical Laboratory Parameter–Driven Machine Learning for Participant Selection in Bioequivalence Studies Among Patients With Gastric Cancer: Framework Development and Validation Study

Abstract BackgroundInsufficient participant enrollment is a major factor responsible for clinical trial failure. ObjectiveWe formulated a machine learning (ML)–based framework using clinical laboratory parameters to identify participants eligible for enrollment in...

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Bibliografiske detaljer

Principais autores:	Byungeun Shon, Sook Jin Seong, Eun Jung Choi, Mi-Ri Gwon, Hae Won Lee, Jaechan Park, Ho-Young Chung, Sungmoon Jeong, Young-Ran Yoon
Format:	Artigo
Sprog:	Inglês
Udgivet:	JMIR Publications 2025-05-01
Serier:	JMIR AI
Online adgang:	https://ai.jmir.org/2025/1/e64845
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