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

Journal: PloS one
PMID: 35617201

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.

Authors

  • S M Ashikul Islam Pollob
    Statistics Discipline, Khulna University, Khulna, Bangladesh.
  • Md Menhazul Abedin
    Statistics Discipline, Khulna University, Khulna, Bangladesh.
  • Md Touhidul Islam
    Statistics Discipline, Khulna University, Khulna, Bangladesh.
  • Md Merajul Islam
    Department of Statistics, University of Rajshahi, Rajshahi, 6205, Bangladesh. Electronic address: merajul.stat4811@gmail.com.
  • Md Maniruzzaman
    Department of Statistics, University of Rajshahi, Rajshahi, Bangladesh. Electronic address: monir.stat91@gmail.com.

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