Predicting risks of low birth weight in Bangladesh with machine learning.

S M Ashikul Islam PollobMd Menhazul AbedinMd Touhidul IslamMd Merajul IslamMd Maniruzzaman

Published in: PloS one (2022)

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.

Keyphrases

low birth weight
preterm infants
machine learning
human milk
preterm birth
gestational age
deep learning
artificial intelligence
big data
human health