Machine learning-based approach for predicting low birth weight.

Journal: BMC pregnancy and childbirth
PMID: 37985975

Abstract

BACKGROUND: Low birth weight (LBW) has been linked to infant mortality. Predicting LBW is a valuable preventative tool and predictor of newborn health risks. The current study employed a machine learning model to predict LBW.

Authors

  • Amene Ranjbar
    Fertility and Infertility Research Center, Hormozgan University of Medical Sciences, Bandar Abbas, Iran.
  • Farideh Montazeri
    Mother and Child Welfare Research Center, Hormozgan University of Medical Sciences, Bandar Abbas, Iran.
  • Mohammadsadegh Vahidi Farashah
    Amirkabir University of Technology, Tehran, Iran.
  • Vahid Mehrnoush
    Mother and Child Welfare Research Center, Hormozgan University of Medical Sciences, Bandar Abbas, Iran.
  • Fatemeh Darsareh
    Mother and Child Welfare Research Center, Hormozgan University of Medical Sciences, Bandar Abbas, Iran. famadarsareh@yahoo.com.
  • Nasibeh Roozbeh
    Mother and Child Welfare Research Center, Hormozgan University of Medical Sciences, Bandar Abbas, Iran.

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