Use of machine learning for early prediction of short-term mortality in veterans with metabolic dysfunction-associated steatotic liver disease.

<h4>Background</h4>Metabolic dysfunction associated steatotic liver disease (MASLD) is a leading cause of chronic liver disease worldwide and affects >25% in the United States population. We hypothesized that clinical features present in electronic health records (EHR) could be extracted early to ch...

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Автори:	Lewis J Frey, Michael Fuchs, Ralph C Ward, Mulugeta Gebregziabher, Ahmad Basil Nasir, Yamini Natarajan, Andrew Schreiner, Don C Rockey, Wing-Kin Syn
Формат:	Artigo
Мова:	Inglês
Опубліковано:	Public Library of Science (PLoS) 2025-01-01
Серія:	PLoS ONE
Онлайн доступ:	https://doi.org/10.1371/journal.pone.0334715
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