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Open Access
Peer-reviewed
Research Article
Selecting the best machine learning algorithm to support the diagnosis of Non-Alcoholic Fatty Liver Disease: A meta learner study
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Paolo Sorino,
Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Writing – original draft
Affiliation Laboratory of Epidemiology and Biostatistics, National Institute of Gastroenterology, “S de Bellis” Research Hospital, Castellana Grotte, Bari, Italy
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Maria Gabriella Caruso,
Roles Writing – original draft
Affiliation Laboratory of Nutritional Biochemistry, National Institute of Gastroenterology, “S de Bellis” Research Hospital, Castellana Grotte, Bari, Italy
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Giovanni Misciagna,
Roles Writing – original draft
Affiliation Scientific and Ethical Committee, Polyclinic Hospital, University of Bari, Bari, Italy
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Caterina Bonfiglio,
Roles Data curation
Affiliation Laboratory of Epidemiology and Biostatistics, National Institute of Gastroenterology, “S de Bellis” Research Hospital, Castellana Grotte, Bari, Italy
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Angelo Campanella,
Roles Data curation
Affiliation Laboratory of Epidemiology and Biostatistics, National Institute of Gastroenterology, “S de Bellis” Research Hospital, Castellana Grotte, Bari, Italy
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Antonella Mirizzi,
Roles Data curation
Affiliation Laboratory of Epidemiology and Biostatistics, National Institute of Gastroenterology, “S de Bellis” Research Hospital, Castellana Grotte, Bari, Italy
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Isabella Franco,
Roles Data curation
Affiliation Laboratory of Epidemiology and Biostatistics, National Institute of Gastroenterology, “S de Bellis” Research Hospital, Castellana Grotte, Bari, Italy
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Antonella Bianco,
Roles Data curation
Affiliation Laboratory of Epidemiology and Biostatistics, National Institute of Gastroenterology, “S de Bellis” Research Hospital, Castellana Grotte, Bari, Italy
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Claudia Buongiorno,
Roles Data curation
Affiliation Laboratory of Epidemiology and Biostatistics, National Institute of Gastroenterology, “S de Bellis” Research Hospital, Castellana Grotte, Bari, Italy
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Rosalba Liuzzi,
Roles Data curation
Affiliation Laboratory of Epidemiology and Biostatistics, National Institute of Gastroenterology, “S de Bellis” Research Hospital, Castellana Grotte, Bari, Italy
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Anna Maria Cisternino,
Roles Data curation
Affiliation Clinical Nutrition Outpatient Clinic, National Institute of Gastroenterology, “S de Bellis” Research Hospital, Castellana Grotte, Bari, Italy
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Maria Notarnicola,
Roles Data curation
Affiliation Laboratory of Nutritional Biochemistry, National Institute of Gastroenterology, “S de Bellis” Research Hospital, Castellana Grotte, Bari, Italy
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Marisa Chiloiro,
Roles Investigation, Methodology
Affiliation San Giacomo Hospital Largo S. Veneziani, Monopoli, Bari, Italy
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Giovanni Pascoschi ,
Contributed equally to this work with: Giovanni Pascoschi, Alberto Rubén Osella
Roles Conceptualization, Supervision, Writing – review & editing
Affiliation Department of Electrical and Information Engineering, Polytechnic of Bari, Bari, Italy
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Alberto Rubén Osella ,
Contributed equally to this work with: Giovanni Pascoschi, Alberto Rubén Osella
Roles Conceptualization, Data curation, Investigation, Project administration, Supervision, Writing – review & editing
* E-mail: arosella@irccsdebellis.it
Affiliation Laboratory of Epidemiology and Biostatistics, National Institute of Gastroenterology, “S de Bellis” Research Hospital, Castellana Grotte, Bari, Italy
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MICOL Group
¶Membership of the MICOL Group is provided in the Acknowledgments.
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Selecting the best machine learning algorithm to support the diagnosis of Non-Alcoholic Fatty Liver Disease: A meta learner study
- Paolo Sorino,
- Maria Gabriella Caruso,
- Giovanni Misciagna,
- Caterina Bonfiglio,
- Angelo Campanella,
- Antonella Mirizzi,
- Isabella Franco,
- Antonella Bianco,
- Claudia Buongiorno,
- Rosalba Liuzzi
- Published: October 20, 2020
- https://doi.org/10.1371/journal.pone.0240867