A study on the effectiveness of machine learning models for hepatitis prediction

A study on the effectiveness of machine learning models for hepatitis prediction

Abstract Hepatitis continues to be a major global health challenge, leading to high morbidity and mortality rates. Despite advances in diagnosis and treatment, early prediction of hepatitis outcomes remains an essential area for improvement. This study seeks to address this gap by applying a range o...

Full description

Saved in:
Bibliographic Details
Main Authors: Popy Khatun, Shafeel Umam, Rubaiya Binte Razzak, Iffat Binta Shamsuddin, Nahid Salma
Format: Article
Language:English
Published: Nature Portfolio 2025-08-01
Series:Scientific Reports
Subjects:
Hepatitis
Machine learning
Random forest
Disease progression
Boruta algorithm
Online Access:https://doi.org/10.1038/s41598-025-07104-4
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items