Shamsuz Zoha

Biographic Data

ID9065862
NAMEShamsuz Zoha
GIVEN NAMESShamsuz
FAMILY NAMEZoha
SIGNATUREZOHA S
AFFILIATIONSHajee Mohammad Danesh Science and Technology University
VERIFIEDNo
TOTAL WORKS2
TOTAL CITATIONS0
WORKS AS AUTHOR2
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2025
LATEST PUBLICATION YEAR2025
H-INDEX0

  • Identifying determinants and predicting cesarean section delivery among Bangladeshi women using machine learning

    Open AccessShamsuz Zoha, Shahin Alam et al.ARTICLEPLOS Global Public Health2025

    Cesarean section (C-section) rates have been rising globally, posing potential health risks for mothers and infants. Understanding the factors that contribute to C-section delivery and leveraging machine learning (ML) techniques for predictive modeling can support targeted interventions and informed policy decisions. This study aimed to identify the determinants of C-section delivery and develop an ML-based predictive model using data from the Ba…

  • Machine learning based prediction of low birth weight and its associated risk factors

    Open AccessNourin Sultana, Zeba Afia et al.ARTICLEPLOS Global Public Health2025

    Low birth weight (LBW) is a major public health concern particularly in low and middle-income countries as it contributes to increased infant mortality and long-term health complications. This study applies and evaluates machine learning (ML) algorithms to predict LBW and identify its key risk factors in Bangladesh. Data were collected from 3,192 complete records of ever-married women aged 15–49 years from the Bangladesh Demographic and Health Su…