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Feature Engineering Methods for Analyzing Blood Samples for Early Diagnosis of Hepatitis Using Machine Learning Approaches

Mohamed A.G.Hazber Ebrahim Mohammed Senan Hezam Saud Alrashidi

Computer Modeling in Engineering & Sciences2025，Vol.142Issue(3)：P.3229-3254,26.

Computer Modeling in Engineering & Sciences2025，Vol.142Issue(3)：P.3229-3254,26.DOI:10.32604/cmes.2025.062302

Feature Engineering Methods for Analyzing Blood Samples for Early Diagnosis of Hepatitis Using Machine Learning Approaches

Mohamed A.G.Hazber ¹Ebrahim Mohammed Senan ²Hezam Saud Alrashidi¹

作者信息

1. Department of Information and Computer Science,College of Computer Science and Engineering,University of Ha’il,Hail,81481,Saudi Arabia
2. Department of Computer Science,College of Applied Sciences,Hajjah University,Hajjah,9677,Yemen Department of Artificial Intelligence,Faculty of Computer Science and Information Technology,Al-Razi University,Sana’a,9671,Yemen
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摘要

关键词

Hepatitis/machine learning/PCA/RFE/SelectKBest/t-SNE

分类

信息技术与安全科学

引用本文复制引用

Mohamed A.G.Hazber,Ebrahim Mohammed Senan,Hezam Saud Alrashidi..Feature Engineering Methods for Analyzing Blood Samples for Early Diagnosis of Hepatitis Using Machine Learning Approaches[J].Computer Modeling in Engineering & Sciences,2025,142(3):P.3229-3254,26.

基金项目

funded by Scientific Research Deanship at University of Ha’il,Saudi Arabia,through project number GR-24009. （）

Computer Modeling in Engineering & Sciences

ISSN：1526-1492

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