Predicting Cholesterol Screening Behavior After Age 50 Using Machine Learning: Insights from the Health and Retirement Study

被引:0
|
作者
Kuo, Wan-Chin
Chen, Jingyu
McDonald, Anthony
Chang, Jui-Hung
Johnson, Heather
机构
关键词
D O I
10.1161/circ.150.suppl_1.4139194
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
4139194
引用
收藏
页数:2
相关论文
共 50 条
  • [31] Prepad: predicting patient death after alloHSCT for inborn errors using machine learning, an IEWP study
    von Asmuth, E. G. J.
    Mohseny, A. B.
    Putter, H.
    Albert, M. H.
    Neven, B.
    Schilham, M. W.
    Lankester, A. C.
    BONE MARROW TRANSPLANTATION, 2022, 57 (SUPPL 1) : 55 - 56
  • [32] Predicting nutritional status for women of childbearing age from their economic, health, and demographic features: A supervised machine learning approach
    Khudri, Md. Mohsan
    Rhee, Kang Keun
    Hasan, Mohammad Shabbir
    Ahsan, Karar Zunaid
    PLOS ONE, 2023, 18 (05):
  • [33] Excess alcohol consumption and health outcomes: a 6-year follow-up of men over age 50 from the health and retirement study
    Perreira, KM
    Sloan, FA
    ADDICTION, 2002, 97 (03) : 301 - 310
  • [34] Predicting host health status through an integrated machine learning framework: insights from healthy gut microbiome aging trajectory
    Bao, Zhiwei
    Yang, Zhongli
    Sun, Ruixiang
    Chen, Guoliang
    Meng, Ruiling
    Wu, Wei
    Li, Ming D.
    SCIENTIFIC REPORTS, 2024, 14 (01):
  • [35] Does Machine Learning Offer Added Value Vis-a-Vis Traditional Statistics? An Exploratory Study on Retirement Decisions Using Data from the Survey of Health, Ageing, and Retirement in Europe (SHARE)
    Garibay, Montserrat Gonzalez
    Srakar, Andrej
    Bartolj, Tjasa
    Sambt, Joze
    MATHEMATICS, 2022, 10 (01)
  • [36] Predicting ICU readmission risks in intracerebral hemorrhage patients: Insights from machine learning models using MIMIC databases
    Miao, Jinfeng
    Zuo, Chengchao
    Cao, Huan
    Gu, Zhongya
    Huang, Yaqi
    Song, Yu
    Wang, Furong
    JOURNAL OF THE NEUROLOGICAL SCIENCES, 2024, 456
  • [37] Predicting early-onset COPD risk in adults aged 20-50 using electronic health records and machine learning
    Liu, Guanglei
    Hu, Jiani
    Yang, Jianzhe
    Song, Jie
    PEERJ, 2024, 12
  • [38] Analyzing Consumer Behavior Insights from Smart Meter Data: A Comparative Study of Deep Learning and Traditional Machine Learning Approaches
    Matinkhah, S. Mojtaba
    Rahravi, Mahdi
    2024 11TH IRANIAN CONFERENCE ON RENEWABLE ENERGY AND DISTRIBUTION GENERATION, ICREDG 2024, 2024,
  • [39] Predicting the risk of pulmonary infection after kidney transplantation using machine learning methods: a retrospective cohort study
    Wu, Xiaoting
    Zhang, Hailing
    Cai, Minglong
    Zhang, Ying
    Xu, Anlan
    INTERNATIONAL UROLOGY AND NEPHROLOGY, 2025, 57 (03) : 947 - 955
  • [40] Using machine learning for predicting cervical cancer from Swedish electronic health records by mining hierarchical representations
    Weegar, Rebecka
    Sundstrom, Karin
    PLOS ONE, 2020, 15 (08):