Predicting child mortality determinants in Uttar Pradesh using Machine Learning: Insights from the National Family and Health Survey (2019–21)

Predicting child mortality determinants in Uttar Pradesh using Machine Learning: Insights from the National Family and Health Survey (2019–21)

Aim: This study aimed to delineate spatial variations in under-five mortality across Uttar Pradesh and evaluate the efficacy of various machine learning algorithms in identifying critical determinants influencing these mortality rates. Methods: The study utilized data from the National Family and He...

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Bibliographic Details
Main Authors: Pinky Pandey, Sacheendra Shukla, Niraj Kumar Singh, Mukesh Kumar
Format: Article
Language:English
Published: Elsevier 2025-03-01
Series:Clinical Epidemiology and Global Health
Subjects:
Under-five mortality
Machine Learning
KNN
Random Forest
ROC curve
Online Access:http://www.sciencedirect.com/science/article/pii/S2213398425000387
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