Setting up of a machine learning algorithm for the identification of severe liver fibrosis profile in the general US population cohort

• Published in: International journal of medical informatics (Shannon, Ireland) Vol. 170; p. 104932
• Main Authors: Hassoun, Samir, Bruckmann, Chiara, Ciardullo, Stefano, Perseghin, Gianluca, Di Gaudio, Francesca, Broccolo, Francesco
• Format: Journal Article
• Language: English
• Published: Ireland Elsevier B.V 01.02.2023
• Subjects: Algorithms; Humans; Imbalanced dataset; Liver Cirrhosis - diagnosis; Liver fibrosis; Machine Learning; NHANES; Nutrition Surveys; Oversampling techniques; Imbalanced dataset; NAFLD; SMOTE; Oversampling techniques; Machine learning; AI; NHANES; Liver fibrosis; SVM; NASH; ML; PCA

•European and American guidelines suggest that liver biopsy should be reserved for patients at high risk of advanced liver disease. Therefore, noninvasive diagnosis methodologies for wide-population screenings are highly needed.•Based on the NHANES dataset (2017–2020 pre-pandemic) that comprised 726...