Predicting Life Expectancy of Hepatitis B Patients using Machine Learning

Author:

Ali Nabeel1,Srivastava Dolley1,Tiwari Aditya1,Pandey Akash1,Pandey Abhay Kumar1,Sahu Akshat1

Affiliation:

1. BBDITM,Department of Information Technology,Lucknow,India

Publisher

IEEE

Reference10 articles.

1. A Naïve Bayes machine learning approach to risk prediction using censored, time-to-event data;wolfson;U S National Library of Medicine National Institutes of Health,2015

2. Mortality in Patients Coinfected with Hepatitis B Virus and HIV: Could Antiretroviral Therapy Make a Difference?

3. Development and Validation of a Novel Risk Prediction Model Using Recursive Feature Elimination Algorithm for Acute-on-Chronic Liver Failure in Chronic Hepatitis B Patients With Severe Acute Exacerbation

4. Modeling for the prediction of Hepatitis B incidence based on integrated online search indexes

5. Comparison of Machine Learning Approaches for Prediction of Advanced Liver Fibrosis in Chronic Hepatitis C Patients;hashem;IEEE/ACM Transactions on Computational Biology and Bioinformatics,2017

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1. Exploring Socioeconomic Influences on Life Expectancy through Machine Learning Ensemble Regression Techniques;2023 4th International Conference on Intelligent Technologies (CONIT);2024-06-21

2. Evaluation of the Prediction Algorithms for the Diagnosis of Hepatic Dysfunction;Nevşehir Bilim ve Teknoloji Dergisi;2023-12-31

3. Machine Learning Models for Life Expectancy;2023 International Conference on Artificial Intelligence and Applications (ICAIA) Alliance Technology Conference (ATCON-1);2023-04-21

4. Introduction to Machine Learning in Medicine;Imaging Informatics for Healthcare Professionals;2023

5. An Interpretable Machine Learning Approach for Hepatitis B Diagnosis;Applied Sciences;2022-11-02

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