Abstract BACKGROUND AND AIMS Detecting NASH remains challenging, while at-risk NASH (steatohepatitis and F≥ 2) tends to progress and is of interest for drug development and clinical application. We developed prediction models by supervised machine learning techniques, with clinical data and biomarkers to stage and grade patients with NAFLD. APPROACH AND RESULTS Learning data were […]
Machine learning algorithm improves the detection of NASH (NAS-based) and at-risk NASH: A development and validation study.
July 1, 2023
Hepatology