Accurate prediction of all-cause mortality in patients with metabolic dysfunction-associated steatotic liver disease using electronic health records

Introduction and Objectives: Despite the huge clinical burden of MASLD, validated tools for early risk stratification are lacking, and heterogeneous disease expression and a highly variable rate of progression to clinical outcomes result in prognostic uncertainty. We aimed to investigate longitudina...

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Xehetasun bibliografikoak

Egile Nagusiak:	Ignat Drozdov, Benjamin Szubert, Ian A. Rowe, Timothy J. Kendall, Jonathan A. Fallowfield
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	Elsevier 2024-09-01
Saila:	Annals of Hepatology
Gaiak:	Metabolic dysfunction-associated steatotic liver disease Electronic health records Artificial intelligence Deep Learning Prognostic model
Sarrera elektronikoa:	http://www.sciencedirect.com/science/article/pii/S1665268124003223
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