Machine learning-based approach for predicting low birth weight

被引：0
|
作者：
Amene Ranjbar
Farideh Montazeri
Mohammadsadegh Vahidi Farashah
Vahid Mehrnoush
Fatemeh Darsareh
Nasibeh Roozbeh
机构：
[1] Hormozgan University of Medical Sciences,Fertility and Infertility Research Center
[2] Hormozgan University of Medical Sciences,Mother and Child Welfare Research Center
[3] Amirkabir University of Technology,undefined
来源：
BMC Pregnancy and Childbirth | / 23卷
关键词：
Low birth weight; Fetal weight; Birth weight; Machine learning; X gradient boost model;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
  • [21] Machine learning-based approach to GPS antijamming
    Cheng-Zhen Wang
    Ling-Wei Kong
    Junjie Jiang
    Ying-Cheng Lai
    GPS Solutions, 2021, 25
  • [22] A Machine Learning-based Approach for Groundwater Mapping
    Zzaman, Rashed Uz
    Nowreen, Sara
    Khan, Irtesam Mahmud
    Islam, Md Rajibul
    Ibtehaz, Nabil
    Rahman, M. Saifur
    Zahid, Anwar
    Farzana, Dilruba
    Sharmin, Afroza
    Rahman, M. Sohel
    NATURAL RESOURCES RESEARCH, 2022, 31 (01) : 281 - 299
  • [23] A Machine Learning-based Approach for Groundwater Mapping
    Rashed Uz Zzaman
    Sara Nowreen
    Irtesam Mahmud Khan
    Md. Rajibul Islam
    Nabil Ibtehaz
    M. Saifur Rahman
    Anwar Zahid
    Dilruba Farzana
    Afroza Sharmin
    M. Sohel Rahman
    Natural Resources Research, 2022, 31 : 281 - 299
  • [24] Predicting low birth weight risks in pregnant women in Brazil using machine learning algorithms: data from the Araraquara cohort study
    Victor, Audencio
    Almeida, Francielly
    Xavier, Sancho Pedro
    Rondo, Patricia H. C.
    BMC PREGNANCY AND CHILDBIRTH, 2025, 25 (01)
  • [25] Machine Learning-Based Method for Predicting Compressive Strength of Concrete
    Li, Daihong
    Tang, Zhili
    Kang, Qian
    Zhang, Xiaoyu
    Li, Youhua
    PROCESSES, 2023, 11 (02)
  • [26] A microstructure sensitive machine learning-based approach for predicting fatigue life of additively manufactured parts
    Kishore, Prateek
    Mondal, Aratrick
    Trivedi, Aayush
    Singh, Punit
    Alankar, Alankar
    INTERNATIONAL JOURNAL OF FATIGUE, 2025, 192
  • [27] A machine learning-based framework for predicting game server load
    Çağdaş Özer
    Taner Çevik
    Ahmet Gürhanlı
    Multimedia Tools and Applications, 2021, 80 : 9527 - 9546
  • [28] Machine Learning-based Models for Predicting the Penetration Depth of Concrete
    Li M.
    Wu H.
    Dong H.
    Ren G.
    Zhang P.
    Huang F.
    Binggong Xuebao/Acta Armamentarii, 2023, 44 (12): : 3771 - 3782
  • [29] A light gradient boosting machine learning-based approach for predicting clinical data breast cancer
    Wang Qiuqian
    Gao Min
    Zhang KeZhu
    Chen Chen
    MULTISCALE AND MULTIDISCIPLINARY MODELING EXPERIMENTS AND DESIGN, 2025, 8 (01)
  • [30] A Machine Learning-Based Approach for Predicting Installation Torque of Helical Piles from SPT Data
    Peres, Marcelo Saraiva
    Schiavon, Jose Antonio
    Ribeiro, Dimas Betioli
    BUILDINGS, 2024, 14 (05)
12345