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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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English English |
| Published: |
INTI International University
2024
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| Subjects: | |
| Online Access: | http://eprints.intimal.edu.my/2048/1/jods2024_49.pdf http://eprints.intimal.edu.my/2048/2/589 http://eprints.intimal.edu.my/2048/ http://ipublishing.intimal.edu.my/jods.html |
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