Selecting the best machine learning algorithm to support the diagnosis of Non-Alcoholic Fatty Liver Disease: A meta learner study

BACKGROUND & AIMS: Liver ultrasound scan (US) use in diagnosing Non-Alcoholic Fatty Liver Disease (NAFLD) causes costs and waiting lists overloads. We aimed to compare various Machine learning algorithms with a Meta learner approach to find the best of these as a predictor of NAFLD. METHODS: The...

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Publicado en:PLoS One
Main Authors: Sorino, Paolo, Caruso, Maria Gabriella, Misciagna, Giovanni, Bonfiglio, Caterina, Campanella, Angelo, Mirizzi, Antonella, Franco, Isabella, Bianco, Antonella, Buongiorno, Claudia, Liuzzi, Rosalba, Cisternino, Anna Maria, Notarnicola, Maria, Chiloiro, Marisa, Pascoschi, Giovanni, Osella, Alberto Rubén
Formato: Artigo
Idioma:Inglês
Publicado: Public Library of Science 2020
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Research Article
Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC7575109/
https://ncbi.nlm.nih.gov/pubmed/33079971
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0240867
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