Predicting risks of low birth weight in Bangladesh with machine learning
S.M. Ashikul Islam Pollob, Md. Menhazul Abedin, Md. Touhidul Islam, Md. Merajul Islam, Md. Maniruzzaman
PLoS ONE
Abstract
Logistic regression-based classifier provided the most accurate classification of low birth weight babies and has the highest accuracy. This study's findings indicate the necessity for an efficient, cost-effective, and integrated complementary approach to reduce and correctly predict low birth weight babies in Bangladesh.
Concepts
Logistic regressionLow birth weightBirth weightDecision treeRespondentMachine learningMedicineBinary classification