Comparative Analysis of Random Forest and Logistic Regression Methods in Predicting Leukemia Blood Cancer Using Microscopic Blood Cell Images

Leukemia is one of the deadliest blood cancers that urgently requires early detection for effective treatment. However, conventional diagnosis methods are often subjective, time-consuming, and expensive, posing challenges especially in resource-constrained areas. This study presents a comprehensive...

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Bibliographic Details
Main Authors: Jepri Banjarnahor, Galuh Wira Relungwangi
Format: Article
Language:English
Published: LPPM ISB Atma Luhur 2025-07-01
Series:Jurnal Sisfokom
Subjects:
Online Access:https://jurnal.atmaluhur.ac.id/index.php/sisfokom/article/view/2393
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