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Sa503 MACHINE LEARNING OUTPERFORMS TRADITIONAL RISK MODEL IN IDENTIFYING HIGH-NEED, HIGH-COST PATIENTS WITH INFLAMMATORY BOWEL DISEASES IN A NATIONALLY REPRESENTATIVE COHORT

Detalles Bibliográficos
Autores principales:	Nguyen, Nghia H., Patel, Sagar, Gabunilas, Jason, Qian, Alexander, Cecil, Alan, Ohno-Machado, Lucila, Sandborn, William J., Singh, Siddharth, Chen, Peter
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	AGA Institute. Published by Elsevier Inc. 2021
Materias:	AGA Abstracts
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8108304/ http://dx.doi.org/10.1016/S0016-5085(21)01959-4

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