Machine Learning for Health Insurance Prediction in Nigeria

Machine Learning for Health Insurance Prediction in Nigeria

Health insurance coverage remains critical to healthcare accessibility, particularly in developing nations like Nigeria. This paper focused on predicting the likelihood of medical insurance coverage among individuals in Nigeria by employing four prominent Machine learning techniques: Logistic Regre...

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Bibliographic Details
Main Authors: Victor Enemona Ochigbo, Oluwasogo Adekunle Okunade, Emmanuel Gbenga Dada, Oluyemi Mikail Olaniyi, Oluwatoyosi Victoria Oyewande
Format: Article
Language:English
Published: College of Engineering of Afe Babalola University, Ado-Ekiti (ABUAD), Ekiti State, Nigeria 2024-12-01
Series:ABUAD Journal of Engineering Research and Development
Subjects:
Ensemble Technique
Odd Ratio
Confusion Matrix
Feature Importance
Medical Insurance
Online Access:https://www.journals.abuad.edu.ng/index.php/ajerd/article/view/648
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