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
  • [1] PREDICTING MORTALITY IN ADULTS USING TRANSFORMERS: INSIGHTS FROM THE HEALTH AND RETIREMENT STUDY
    Growney, Claire
    Jordan, Claire
    Larson, Carol
    Carstensen, Laura
    INNOVATION IN AGING, 2024, 8 : 174 - 174
  • [2] Predicting Caregiver Burden in Multiple Myeloma: Insights from the Carmma Study Using Machine Learning Models
    Costa, Carlos
    Roque, Adriana Isabel
    Santinha, Joao
    Neves, Manuel
    Sarmento-Ribeiro, Ana Bela
    Gerivaz, Rita
    Tome, Ana Luisa
    Martins, Helena
    Vieira, Joana
    Afonso, Sofia
    Santos, Joana
    Afonso, Celina
    Jorge, Ana
    Freitas, Jose
    Ramos, Ines
    Sousa, Patricia
    Cesar, Paula
    Garrido, Teresa
    Rochate, Dina
    Silveira, Maria Pedro
    Miranda, Fernanda Trigo
    Bergantim, Rui
    Santos, Catarina Geraldes
    Joao, Cristina
    BLOOD, 2024, 144 : 4718 - 4719
  • [3] Predicting Health Outcome from Purchasing History Using Machine Learning
    Illanko, Kandasamy
    Fernando, Xavier
    IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC 2021), 2021,
  • [4] Interplay of education and DNA methylation age on cognitive impairment: insights from the Health and Retirement Study
    Ware, Erin B.
    Tejera, Cesar Higgins
    Wang, Herong
    Harris, Sean
    Fisher, Jonah D.
    Bakulski, Kelly M.
    GEROSCIENCE, 2024,
  • [5] Predicting Joining Behavior of Freshmen Students using Machine Learning - A Case Study
    Kumar, Pawan
    Kumar, Varun
    Sobti, Rajeev
    2020 INTERNATIONAL CONFERENCE ON COMPUTATIONAL PERFORMANCE EVALUATION (COMPE-2020), 2020, : 141 - 145
  • [6] Predicting multifaceted risks using machine learning in atrial fibrillation: insights from GLORIA-AF study
    Lu, Juan
    Bisson, Arnaud
    Bennamoun, Mohammed
    Zheng, Yalin
    Sanfilippo, Frank M.
    Hung, Joseph
    Briffa, Tom
    McQuillan, Brendan
    Stewart, Jonathon
    Figtree, Gemma
    Huisman, Menno V.
    Dwivedi, Girish
    Lip, Gregory Y. H.
    EUROPEAN HEART JOURNAL - DIGITAL HEALTH, 2024, 5 (03): : 235 - 246
  • [7] Predicting Severe Sepsis from the Electronic Health Record Using Machine Learning
    Gallant, S.
    Culliton, P.
    Levinson, M.
    Ehresman, A.
    Wherry, J.
    Steingrub, J.
    AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, 2018, 197
  • [8] A prospective cohort study of health behavior profiles after age 50 and mortality risk
    Benjamin A Shaw
    Neda Agahi
    BMC Public Health, 12
  • [9] A prospective cohort study of health behavior profiles after age 50 and mortality risk
    Shaw, Benjamin A.
    Agahi, Neda
    BMC PUBLIC HEALTH, 2012, 12
  • [10] Predicting the Health Behavior of Older Adults in Western Hunan Villages Using Machine Learning Algorithms
    Tang, Chengjun
    He, Shaoyao
    Qiu, Tian
    He, Chuan
    Xu, Jianhe
    Tang, Wenjun
    Li, Yiling
    BUILDINGS, 2024, 14 (07)