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
  • [31] 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
  • [32] Machine learning-based approach to GPS antijamming
    Cheng-Zhen Wang
    Ling-Wei Kong
    Junjie Jiang
    Ying-Cheng Lai
    GPS Solutions, 2021, 25
  • [33] ESPDHot: An Effective Machine Learning-Based Approach for Predicting Protein-DNA Interaction Hotspots
    Tao, Lianci
    Zhou, Tong
    Wu, Zhixiang
    Hu, Fangrui
    Yang, Shuang
    Kong, Xiaotian
    Li, Chunhua
    JOURNAL OF CHEMICAL INFORMATION AND MODELING, 2024, 64 (08) : 3548 - 3557
  • [34] A Machine Learning-Based Approach for Predicting Structural Settlement on Layered Liquefiable Soils Improved with Densification
    Hwang, Yu-Wei
    Dashti, Shideh
    GEO-CONGRESS 2023: GEOTECHNICS OF NATURAL HAZARDS, 2023, 338 : 297 - 307
  • [35] 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
  • [36] A Machine Learning-Based Approach for Predicting Surgeons' Subjective Experience and Skill Levels: Neuroimaging Study
    Keles, H. O.
    Cengiz, C.
    Demiral, I.
    Ozmen, M. M.
    Omurtag, A.
    BRITISH JOURNAL OF SURGERY, 2021, 108
  • [37] Predicting Flexural Capacity of Ultrahigh-Performance Concrete Beams: Machine Learning-Based Approach
    Solhmirzaei, Roya
    Salehi, Hadi
    Kodur, Venkatesh
    JOURNAL OF STRUCTURAL ENGINEERING, 2022, 148 (05)
  • [38] Machine Learning-Based Method for Predicting Compressive Strength of Concrete
    Li, Daihong
    Tang, Zhili
    Kang, Qian
    Zhang, Xiaoyu
    Li, Youhua
    PROCESSES, 2023, 11 (02)
  • [39] A Machine Learning-Based Approach for Predicting the Execution Time of CFD Applications on Cloud Computing Environment
    Duong Ngoc Hieu
    Thai Tieu Minh
    Trinh Van Quang
    Bui Xuan Giang
    Tran Van Hoai
    FUTURE DATA AND SECURITY ENGINEERING, FDSE 2016, 2016, 10018 : 40 - 52
  • [40] 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)
12345