Machine Learning Models for Classification of Anemia from CBC Results:
Random Forest, SVM, and Logistic Regression

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Machine Learning Models for Classification of Anemia from CBC Results: Random Forest, SVM, and Logistic Regression

In an effort to increase diagnostic efficiency and accuracy, this work investigates the application of machine learning models Random Forest, SVM, and Logistic Regression for the categorization of anemia. Hematocrit and hemoglobin levels were included in the dataset, which was divided into traini...

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Bibliographic Details
Main Authors:	Muhammad Rafli, Aditya, Teguh, Sutanto, Haldi, Budiman, M.Rezqy, Noor Ridha, Usman, Syapotro, Noor, Azijah
Format:	Article
Language:	English English
Published:	INTI International University 2024
Subjects:	QA75 Electronic computers. Computer science QA76 Computer software T Technology (General)
Online Access:	http://eprints.intimal.edu.my/2048/ http://eprints.intimal.edu.my/2048/1/jods2024_49.pdf http://eprints.intimal.edu.my/2048/2/589

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