Long-term care plan recommendation for older adults with disabilities: a bipartite graph transformer and self-supervised approach.

Journal: Journal of the American Medical Informatics Association : JAMIA
PMID: 39883541

Abstract

BACKGROUND: With the global population aging and advancements in the medical system, long-term care in healthcare institutions and home settings has become essential for older adults with disabilities. However, the diverse and scattered care requirements of these individuals make developing effective long-term care plans heavily reliant on professional nursing staff, and even experienced caregivers may make mistakes or face confusion during the care plan development process. Consequently, there is a rigid demand for intelligent systems that can recommend comprehensive long-term care plans for older adults with disabilities who have stable clinical conditions.

Authors

  • Chunlong Miao
    Institute of AI and Robotics, Academy for Engineering and Technology, Fudan University, Shanghai, 200433, China.
  • Jingjing Luo
    State Key Laboratory of Oral Diseases, Department of Oral Medicine, West China Hospital of Stomatology, Sichuan University, Chengdu, China.
  • Yan Liang
    Department of Chemistry and Biochemistry, The University of Arizona, Tucson, AZ, 85721, United States.
  • Hong Liang
    Department of Mechanical Engineering, Texas A&M University, College Station, TX 77843-3123, USA hliang@tamu.edu.
  • Yuhui Cen
    Institute of AI and Robotics, Academy for Engineering and Technology, Fudan University, Shanghai, 200433, China.
  • Shijie Guo
  • Hongliu Yu

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