Predicting undernutrition among elementary schoolchildren in the Philippines using machine learning algorithms

Predicting undernutrition among elementary schoolchildren in the Philippines using machine learning algorithms

Objectives This study aimed to compare the accuracy of four machine-learning (ML) algorithms, using two classification schemes, to predict undernutrition based on individual and household risk factors. Methods Data on public-school children were collected from a rural province (310 children) and a...

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Main Authors:	Siy Van, Vanessa T, Antonio, Victor A, Siguin, Carmina P, Gordoncillo, Normahitta P., Sescon, Joselito T., Go, Clark C, Miro, Eden Delight
格式:	text
出版:	Archīum Ateneo 2022
主題:	Nutrition Machine learning Philippines Random forest Prediction Energy Classification Mathematics Medicine and Health Sciences
在線閱讀:	https://archium.ateneo.edu/mathematics-faculty-pubs/213 https://doi.org/10.1016/j.nut.2021.111571
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