Nutritional patterns as machine learning predictors of liver health in a population of elderly subjects

Non-alcoholic hepatic steatosis affects 25% of adults worldwide and its prevalence increases with age. There is currently no definitive treatment for NAFLD but International guidelines recommend a lifestyle-based approach, including a healthy diet. The aim of this study was to investigate the interactions between eating habits and the risk of steatosis and/or hepatic fibrosis, using a machine learning approach, in a non-institutionalized older population.

Source: Nutrition, Metabolism, and Cardiovascular Diseases : NMCD - July 12, 2023 Category: Nutrition Authors: Luisa Lampignano, Rossella Tatoli, Rossella Donghia, Ilaria Bortone, Fabio Castellana, Roberta Zupo, Mazia Lozupone, Francesco Panza, Caterina Conte, Rodolfo Sardone Source Type: research