Development of a novel machine learning model to predict presence of nonalcoholic steatohepatitis

OBJECTIVE: To develop a computer model to predict patients with nonalcoholic steatohepatitis (NASH) using machine learning (ML). MATERIALS AND METHODS: This retrospective study utilized two databases: a) the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) nonalcoholic fatty...

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Detalles Bibliográficos
Autores principales: Docherty, Matt, Regnier, Stephane A, Capkun, Gorana, Balp, Maria-Magdalena, Ye, Qin, Janssens, Nico, Tietz, Andreas, Löffler, Jürgen, Cai, Jennifer, Pedrosa, Marcos C, Schattenberg, Jörn M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Research and Applications
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8200272/
https://www.ncbi.nlm.nih.gov/pubmed/33684933
http://dx.doi.org/10.1093/jamia/ocab003

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8200272/
https://www.ncbi.nlm.nih.gov/pubmed/33684933
http://dx.doi.org/10.1093/jamia/ocab003

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