… , a prediction model had been created to predict the acute hepatitis c outcomes based on
data mining methods using … used machine learning approaches for predicting the response of …

… In this study, we develop a novel machine learning-based meta… Unlike the existing method,
which is based on single-feature-… ) for predicting and analyzing the bioactivity of hepatitis C …

… programs by predicting the outcome of the treatment of a particular patient at the start of
treatment so … , and the outcome of treatment was predicted using state-of-art implementations of 3 …

… State-of-the-art deep learning algorithms are promising and have demonstrated high … -proliferation
class, more commonly seen with hepatitis C virus infection or alcohol-related HCC, …

… of deep learning to predict the response of TACE therapy … deep learning model based on
CT images would potentially serve as a new tool for predicting the therapy response of patients …

… , a prediction model had been created to predict the acute hepatitis c outcomes based on
data mining methods using … used machine learning approaches for predicting the response of …

… techniques coupled with four different novel hybridized paradigms for the clinical prediction
of hepatitis C status among patients, using … of health informatics and machine learning (ML). …

… A machine learning-based prediction method discovered genes that potentially serve as …
in the following medical study, their therapeutic use can be established. Additionally, more …

… algorithm for predicting outcome treatment options for patients with HCC. Patients and methods
… Using machine learning analysis, we constructed Reduced Error Pruning (REP) decision …

… characteristics that were crucial for predictions so that our algorithms can form a solid
affiliation with the dataset. Before employing the machine learning technique, the datasets were …