Application of machine learning in predicting non-alcoholic fatty liver disease using anthropometric and body composition indices

Non-alcoholic fatty liver disease (NAFLD) is the most common chronic liver disease, which can progress from simple steatosis to advanced cirrhosis and hepatocellular carcinoma. Clinical diagnosis of NAFLD is crucial in the early stages of the disease. The main aim of this study was to apply machine...

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Detalles Bibliográficos
Autores principales: Razmpour, Farkhondeh, Daryabeygi-Khotbehsara, Reza, Soleimani, Davood, Asgharnezhad, Hamzeh, Shamsi, Afshar, Bajestani, Ghasem Sadeghi, Nematy, Mohsen, Pour, Mahdiyeh Razm, Maddison, Ralph, Islam, Sheikh Mohammed Shariful
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10043285/
https://www.ncbi.nlm.nih.gov/pubmed/36973382
http://dx.doi.org/10.1038/s41598-023-32129-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10043285/
https://www.ncbi.nlm.nih.gov/pubmed/36973382
http://dx.doi.org/10.1038/s41598-023-32129-y

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