Comparison of Machine Learning Approaches in Prediction of Osteoporosis Risk

被引：0
|
作者：
Qiu, Chuan [1 ]
机构：
[1] Tulane Univ, New Orleans, LA USA
来源：
JOURNAL OF BONE AND MINERAL RESEARCH | 2023年 / 38卷
关键词：
D O I：
暂无
中图分类号：
R5 [内科学];
学科分类号：
1002 ; 100201 ;
摘要：
SAT-514
引用
收藏
页码：159 / 160
页数：2
相关论文
共 50 条
  • [41] Osteoporosis Risk Prediction for Bone Mineral Density Assessment of Postmenopausal Women Using Machine Learning
    Yoo, Tae Keun
    Kim, Sung Kean
    Kim, Deok Won
    Choi, Joon Yul
    Lee, Wan Hyung
    Oh, Ein
    Park, Eun-Cheol
    YONSEI MEDICAL JOURNAL, 2013, 54 (06) : 1321 - 1330
  • [42] A decision support system for osteoporosis risk prediction using machine learning and explainable artificial intelligence
    Khanna, Varada Vivek
    Chadaga, Krishnaraj
    Sampathila, Niranjana
    Chadaga, Rajagopala
    Prabhu, Srikanth
    Swathi, K. S.
    Jagdale, Aditya S.
    Bhat, Devadas
    HELIYON, 2023, 9 (12)
  • [43] Prediction Modeling Using EHR Data Challenges, Strategies, and a Comparison of Machine Learning Approaches
    Wu, Jionglin
    Roy, Jason
    Stewart, Walter F.
    MEDICAL CARE, 2010, 48 (06) : S106 - S113
  • [44] Machine Learning in Business Process Monitoring: A Comparison of Deep Learning and Classical Approaches Used for Outcome Prediction
    Kratsch, Wolfgang
    Manderscheid, Jonas
    Roglinger, Maximilian
    Seyfried, Johannes
    BUSINESS & INFORMATION SYSTEMS ENGINEERING, 2021, 63 (03) : 261 - 276
  • [45] Machine Learning in Business Process Monitoring: A Comparison of Deep Learning and Classical Approaches Used for Outcome Prediction
    Wolfgang Kratsch
    Jonas Manderscheid
    Maximilian Röglinger
    Johannes Seyfried
    Business & Information Systems Engineering, 2021, 63 : 261 - 276
  • [46] A systematic review of prediction models on arteriovenous fistula: Risk scores and machine learning approaches
    Meng, Lingyan
    Ho, Pei
    JOURNAL OF VASCULAR ACCESS, 2024,
  • [47] A Comprehensive Analysis on Risk Prediction of Acute Coronary Syndrome using Machine Learning Approaches
    Raihan, M.
    Islam, Muhammad Muinul
    Ghosh, Promila
    Shaj, Shakil Ahmed
    Chowdhury, Mubtasim Rafid
    Mondal, Saikat
    More, Arun
    2018 21ST INTERNATIONAL CONFERENCE OF COMPUTER AND INFORMATION TECHNOLOGY (ICCIT), 2018,
  • [48] Machine learning approaches to injury risk prediction in sport: a scoping review with evidence synthesis
    Leckey, Christopher
    van Dyk, Nicol
    Doherty, Cailbhe
    Lawlor, Aonghus
    Delahunt, Eamonn
    BRITISH JOURNAL OF SPORTS MEDICINE, 2024,
  • [49] Prediction of osteoporosis in patients with rheumatoid arthritis using machine learning
    Lee, Chaewon
    Joo, Gihun
    Shin, Seunghun
    Im, Hyeonseung
    Moon, Ki Won
    SCIENTIFIC REPORTS, 2023, 13 (01):
  • [50] Prediction of osteoporosis in patients with rheumatoid arthritis using machine learning
    Chaewon Lee
    Gihun Joo
    Seunghun Shin
    Hyeonseung Im
    Ki Won Moon
    Scientific Reports, 13 (1)
12345