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

Author(s): Razmpour F; Daryabeygi-Khotbehsara R; Soleimani D; Asgharnezhad H; Shamsi A; Bajestani GS; Nematy M; Pour MR; Maddison R; Islam SMS;

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 machi ...

Article GUID: 36973382


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