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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Publicat a:PLoS One
Autors principals: 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
Format: Artigo
Idioma:Inglês
Publicat: Public Library of Science 2020
Matèries:
Research Article
Accés en línia: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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