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

ABSTRACT:

Background and objective

Low birth weight is one of the primary causes of child mortality and several diseases of future life in developing countries, especially in Southern Asia. The main objective of this study is to determine the risk factors of low birth weight and predict low birth weight babies based on machine learning algorithms.

Materials and methods

Low birth weight data has been taken from the Bangladesh Demographic and Health Survey, 2017-18, which had 2351 respondents. The risk factors associated with low birth weight were investigated using binary logistic regression. Two machine learning-based classifiers (logistic regression and decision tree) were adopted to characterize and predict low birth weight. The model performances were evaluated by accuracy, sensiti

SUBMITTER: Islam Pollob SMA 

PROVIDER: S-EPMC9135259 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature