Ultrasound radiomics-based logistic regression model for fibrotic NASH

F **a, W Wei, J Wang, Y Wang, K Wang, C Zhang… - BMC …, 2025 - Springer
Background Those who have severe fibrosis (F2≥ 2 stage) are at the greatest risk for the
advancement of the illness among non-alcoholic fatty liver patients. To forecast the non …

Risk prediction of computer investment database information management system based on machine learning algorithms

Y Guo - Molecular & Cellular Biomechanics, 2024 - ojs.sin-chn.com
In recent years, with the continuous development of the financial market, the risk prediction
of computer investment database information management systems (IMS) has high practical …

Optimal population screening strategies for liver fibrosis associated with metabolic dysfunction-associated steatotic liver disease

WR Kim, A Mannalithara, V Charu… - Official journal of the …, 2022 - journals.lww.com
Background: Metabolic dysfunction-associated steatotic liver disease (MASLD) is an
important public health threat, potentially leading to chronic liver disease and liver cancer …