Development, Validation, and Evaluation of a Simple Machine Learning Model to Predict Cirrhosis Mortality

IMPORTANCE: Machine-learning algorithms offer better predictive accuracy than traditional prognostic models but are too complex and opaque for clinical use. OBJECTIVE: To compare different machine learning methods in predicting overall mortality in cirrhosis and to use machine learning to select eas...

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Detalhes bibliográficos
Publicado no:JAMA Netw Open
Main Authors: Kanwal, Fasiha, Taylor, Thomas J., Kramer, Jennifer R., Cao, Yumei, Smith, Donna, Gifford, Allen L., El-Serag, Hashem B., Naik, Aanand D., Asch, Steven M.
Formato: Artigo
Idioma:Inglês
Publicado em: American Medical Association 2020
Assuntos:
Original Investigation
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7610191/
https://ncbi.nlm.nih.gov/pubmed/33141161
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1001/jamanetworkopen.2020.23780
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