EXAMINING FAIRNESS IN MACHINE LEARNING PREDICTIONS OF HEALTHCARE COSTS IN OLDER WOMEN WITH OSTEOARTHRITIS: XGBOOST REGRESSION

被引:0
|
作者
Elchehabi, S. [1 ]
Dehghan, A. [2 ]
Park, C. [3 ]
Sambamoorthi, N. [4 ]
Shen, C. [5 ]
Sambamoorthi, U. [2 ]
机构
[1] Univ North Texas, Hlth Sci Ctr, League City, TX USA
[2] Univ North Texas, Hlth Sci Ctr, Denton, TX USA
[3] Univ Texas Austin, Austin, TX USA
[4] Univ North Texas, Hlth Sci Ctr, Ft Worth, TX USA
[5] Penn State Coll Med, Hershey, PA USA
关键词
D O I
暂无
中图分类号
F [经济];
学科分类号
02 ;
摘要
MSR16
引用
收藏
页码:S262 / S262
页数:1
相关论文
共 50 条
  • [31] XGBoost based machine learning approach to predict the risk of fall in older adults using gait outcomes
    Noh, Byungjoo
    Youm, Changhong
    Goh, Eunkyoung
    Lee, Myeounggon
    Park, Hwayoung
    Jeon, Hyojeong
    Kim, Oh Yoen
    SCIENTIFIC REPORTS, 2021, 11 (01)
  • [32] Healthcare use among US women aged 45 and older: Total costs and costs for selected postmenopausal health risks
    Hoerger, TJ
    Downs, KE
    Lakshmanan, MC
    Lindrooth, RC
    Plouffe, L
    Wendling, B
    West, SL
    Ohsfeldt, RL
    JOURNAL OF WOMENS HEALTH & GENDER-BASED MEDICINE, 1999, 8 (08): : 1077 - 1089
  • [33] When Your Only Tool Is A Hammer Ethical Limitations of Algorithmic Fairness Solutions in Healthcare Machine Learning
    McCradden, Melissa
    Mazwi, Mjaye
    Joshi, Shalmali
    Anderson, James A.
    PROCEEDINGS OF THE 3RD AAAI/ACM CONFERENCE ON AI, ETHICS, AND SOCIETY AIES 2020, 2020, : 109 - 109
  • [34] Advances in management of healthcare service quality: a dual approach with model development and machine learning predictions
    Datt, Mohit
    Gupta, Ajay
    Misra, Sushendra Kumar
    JOURNAL OF ADVANCES IN MANAGEMENT RESEARCH, 2025,
  • [35] FAIREDU: A multiple regression-based method for enhancing fairness in machine learning models for educational applications
    Pham, Nga
    Do, Minh Kha
    Dai, Tran Vu
    Hung, Pham Ngoc
    Nguyen-Duc, Anh
    EXPERT SYSTEMS WITH APPLICATIONS, 2025, 269
  • [36] Beyond bias and discrimination: redefining the AI ethics principle of fairness in healthcare machine-learning algorithms
    Benedetta Giovanola
    Simona Tiribelli
    AI & SOCIETY, 2023, 38 : 549 - 563
  • [37] Beyond bias and discrimination: redefining the Al ethics principle of fairness in healthcare machine-learning algorithms
    Giovanola, Benedetta
    Tiribelli, Simona
    AI & SOCIETY, 2023, 38 (02) : 549 - 563
  • [38] Improving fairness in machine learning-enabled affirmative actions: a case study in outreach activities in healthcare
    Ferro, David Barrera
    Brailsford, Sally
    Chapman, Adriane
    JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY, 2025, 76 (02) : 363 - 374
  • [39] Exploring the use of machine learning for risk adjustment: A comparison of standard and penalized linear regression models in predicting health care costs in older adults
    Kan, Hong J.
    Kharrazi, Hadi
    Chang, Hsien-Yen
    Bodycombe, Dave
    Lemke, Klaus
    Weiner, Jonathan P.
    PLOS ONE, 2019, 14 (03):
  • [40] Examining individual and contextual predictors of disability in Chinese older adults: A machine learning approach
    Wu, Yafei
    Ye, Zirong
    Wang, Zongjie
    Duan, Siyu
    Zhu, Junmin
    Fang, Ya
    INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS, 2024, 191