[HTML][HTML] A Machine Learning-Based Mortality Prediction Model for Patients with Chronic Hepatitis C Infection: An Exploratory Study
AM Al Alawi, HH Al Shuaili, K Al-Naamani… - Journal of Clinical …, 2024 - mdpi.com
Background: Chronic hepatitis C (HCV) infection presents global health challenges with
significant morbidity and mortality implications. Successfully treating patients with cirrhosis …
significant morbidity and mortality implications. Successfully treating patients with cirrhosis …
Development of a deep learning model for predicting recurrence of hepatocellular carcinoma after liver transplantation
SH Ko, J Cao, Y Yang, Z Xi, HW Han, M Sha… - Frontiers in …, 2024 - frontiersin.org
Background Liver transplantation (LT) is one of the main curative treatments for
hepatocellular carcinoma (HCC). Milan criteria has long been applied to candidate LT …
hepatocellular carcinoma (HCC). Milan criteria has long been applied to candidate LT …
A New Differential Gene Expression Based Simulated Annealing for Solving Gene Selection Problem: A Case Study on Eosinophilic Esophagitis and Few Other …
K Sinha, S Chakraborty, A Bardhan, R Saha… - medRxiv, 2024 - medrxiv.org
Background Identifying the set of disease-causing genes is crucial for understanding
pathogenesis and developing therapies. This is particularly important to understand the …
pathogenesis and developing therapies. This is particularly important to understand the …