Social Determinants of Health in Machine-Learning Algorithms

被引：0
|
作者：
Boulos, Nancy M. [1 ]
Chang, En [2 ]
Burton, Brittany N. [3 ]
机构：
[1] Univ Calif Los Angeles, Dept Anesthesiol & Perioperat Med, Los Angeles, CA USA
[2] Calif Univ Sci & Med, Sch Med, Colton, CA USA
[3] Univ Calif Los Angeles, Dept Anesthesiol & Perioperat Med, Los Angeles, CA 90024 USA
来源：
ANESTHESIA AND ANALGESIA | 2025年 / 140卷 / 03期
关键词：
D O I：
10.1213/ANE.0000000000007362
中图分类号：
R614 [麻醉学];
学科分类号：
100217 ;
摘要：
引用
收藏
页码：e20 / e21
页数：2
相关论文
共 50 条
  • [1] Social Determinants of Health in Machine-Learning Algorithms Response
    Gabriel, Rodney A.
    ANESTHESIA AND ANALGESIA, 2025, 140 (03): : e21 - e22
  • [2] Clustering the US Population into Social Determinants of Health (SDOH) Subgroups-A Machine-Learning Approach
    Lee, Jieun
    Xue, Qiaochu
    Li, Piaopiao
    Weber, Mary Beth
    Xi, Yuanzhe
    Garcia, Gian-Gabriel
    Ali, Mohammed K.
    Shao, Hui
    DIABETES, 2024, 73
  • [3] Machine-Learning Algorithms to Code Public Health Spending Accounts
    Brady, Eoghan S.
    Leider, Jonathon P.
    Resnick, Beth A.
    Alfonso, Y. Natalia
    Bishai, David
    PUBLIC HEALTH REPORTS, 2017, 132 (03) : 350 - 356
  • [4] Address AI bottlenecks with machine-learning algorithms
    Williams, Mike
    Control Engineering, 2020, 67 (10)
  • [5] Transatlantic transferability and replicability of machine-learning algorithms to predict mental health crises
    Guerreiro, Joao
    Garriga, Roger
    Bagen, Toni Lozano
    Sharma, Brihat
    Karnik, Niranjan S.
    Matic, Aleksandar
    NPJ DIGITAL MEDICINE, 2024, 7 (01):
  • [6] Machine learning approaches to the social determinants of health in the health and retirement study
    Seligman, Benjamin
    Tuljapurkar, Shripad
    Rehkopf, David
    SSM-POPULATION HEALTH, 2018, 4 : 95 - 99
  • [7] WILD WESTWORLD: SECTION 230 OF THE CDA AND SOCIAL NETWORKS' USE OF MACHINE-LEARNING ALGORITHMS
    Tremble, Catherine
    FORDHAM LAW REVIEW, 2017, 86 (02) : 825 - 869
  • [8] Considering How Machine-Learning Algorithms (Re)produce Social Biases in Generated Faces
    Gusdorff, Matthew
    Grissom II, Alvin
    Neto, Jeova F. S. Rocha
    Lin, Yikang
    Trotter, Ryan
    Lei, Ryan F.
    SOCIAL AND PERSONALITY PSYCHOLOGY COMPASS, 2024, 18 (11)
  • [9] Machine-learning regression in evolutionary algorithms and image registration
    Spanakis, Constantinos
    Mathioudakis, Emmanouil
    Kampanis, Nikos
    Tsiknakis, Manolis
    Marias, Kostas
    IET IMAGE PROCESSING, 2019, 13 (05) : 843 - 849
  • [10] Predicting Perovskite Performance with Multiple Machine-Learning Algorithms
    Li, Ruoyu
    Deng, Qin
    Tian, Dong
    Zhu, Daoye
    Lin, Bin
    CRYSTALS, 2021, 11 (07)
12345