Machine Learning Modeling For Predicting Adherence To Physical Activity Guideline

被引：0
|
作者：
Choe, Jupil [1 ]
Lee, Seungbak [1 ]
Kang, Minsoo [1 ]
机构：
[1] Univ Mississippi, Oxford, MS USA
来源：
MEDICINE & SCIENCE IN SPORTS & EXERCISE | 2024年 / 56卷 / 10期
关键词：
D O I：
暂无
中图分类号：
G8 [体育];
学科分类号：
04 ; 0403 ;
摘要：
2433
引用
收藏
页码：888 / 889
页数：2
相关论文
共 50 条
  • [1] Applying machine learning to predict future adherence to physical activity programs
    Mo Zhou
    Yoshimi Fukuoka
    Ken Goldberg
    Eric Vittinghoff
    Anil Aswani
    [J]. BMC Medical Informatics and Decision Making, 19
  • [2] Applying machine learning to predict future adherence to physical activity programs
    Zhou, Mo
    Fukuoka, Yoshimi
    Goldberg, Ken
    Vittinghoff, Eric
    Aswani, Anil
    [J]. BMC MEDICAL INFORMATICS AND DECISION MAKING, 2019, 19 (01)
  • [3] Pennsylvania Cancer Survivors And Their Adherence To The ACSM Physical Activity Guideline
    Wiskemann, Joachim
    Foo, Wayne
    WInkels, Renate M.
    Bluthmann, Shirley M.
    Mama, Scherezade K.
    Calo, William
    Lengerich, Eugene
    Segel, Joel
    Schmitz, Kathryn H.
    [J]. MEDICINE AND SCIENCE IN SPORTS AND EXERCISE, 2018, 50 (05): : 256 - 256
  • [4] MACHINE LEARNING APPROACHES TO UNDERSTANDING AND PREDICTING PATTERNS OF ADHERENCE
    Chakraborty, Shayok
    Bhattacharya, Aditya
    Tian, Shubo
    Roque, Nelson
    He, Zhe
    Boot, Walter
    [J]. INNOVATION IN AGING, 2021, 5 : 551 - 551
  • [5] Physical Activity Guideline Adherence and Physical Fitness: The NHANES National Youth Fitness Survey
    Smudde, Matthew P.
    Laurson, Kelly R.
    Brown, Dale D.
    Dennis, Karen K.
    [J]. MEDICINE AND SCIENCE IN SPORTS AND EXERCISE, 2018, 50 (05): : 528 - 528
  • [6] PHYSICAL ACTIVITY GUIDELINE ADHERENCE AND CORRELATES AMONG PANCREATIC CANCER SURVIVORS
    Parker, Nathan
    Basen-Engquist, Karen
    Li, Yisheng
    Katz, Matthew
    [J]. ANNALS OF BEHAVIORAL MEDICINE, 2019, 53 : S169 - S169
  • [7] A Machine Learning Approach for Predicting Therapeutic Adherence to Osteoporosis Treatment
    Marvin, Ggaliwango
    Alam, Md Golam Rabiul
    [J]. 2021 IEEE ASIA-PACIFIC CONFERENCE ON COMPUTER SCIENCE AND DATA ENGINEERING (CSDE), 2021,
  • [8] Predicting adherence of patients with HF through machine learning techniques
    Karanasiou, Georgia Spiridon
    Tripoliti, Evanthia Eleftherios
    Papadopoulos, Theofilos Grigorios
    Kalatzis, Fanis Georgios
    Goletsis, Yorgos
    Naka, Katerina Kyriakos
    Bechlioulis, Aris
    Errachid, Abdelhamid
    Fotiadis, Dimitrios Ioannis
    [J]. HEALTHCARE TECHNOLOGY LETTERS, 2016, 3 (03) : 165 - 170
  • [9] Physical Activity Recommendation for Exergame Player Modeling using Machine Learning Approach
    Zhao, Zhao
    Arya, Ali
    Orji, Rita
    Chan, Gerry
    [J]. 2020 IEEE 8TH INTERNATIONAL CONFERENCE ON SERIOUS GAMES AND APPLICATIONS FOR HEALTH (SEGAH 20), 2020,
  • [10] Role of Brain Structure in Predicting Adherence to a Physical Activity Regimen
    Gujral, Swathi
    McAuley, Edward
    Oberlin, Lauren E.
    Kramer, Arthur F.
    Erickson, Kirk I.
    [J]. PSYCHOSOMATIC MEDICINE, 2018, 80 (01) : 69 - 77
12345