Machine Learning Approach for Classification of Sickle Cell Anemia in Teenagers Based on Bayesian Network

Machine Learning Approach for Classification of Sickle Cell Anemia in Teenagers Based on Bayesian Network

In this study, we employed a Bayesian network approach for the classification of sickle cell anemia in teenagers based on their medical data. Sickle cell anemia is a hereditary blood disorder characterized by the presence of abnormal hemoglobin, leading to distorted red blood cells. Early detection...

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Bibliographic Details
Main Authors: Blessing Ekong, Otuekong Ekong, Abasiama Silas, Anthony Effiong Edet, Bright William
Format: Article
Language:English
Published: Informatics Department, Faculty of Computer Science Bina Darma University 2023-12-01
Series:Journal of Information Systems and Informatics
Subjects:
sickle cell, anemia, teenagers, bayesian network, machine learning
Online Access:https://journal-isi.org/index.php/isi/article/view/629

Internet

https://journal-isi.org/index.php/isi/article/view/629

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