Frailty prediction in patients with chronic digestive system diseases: based on multi-task learning model
This MMoE-based approach can predict frailty at key time points, offering insights into frailty progression and aiding clinical decision making. Integrating this AI model into CDSD management can promote early interventions and personalized treatment plans.
Authors
- 輝夫 上野
- Zixiang Jin
- Xuezhi Zhang (ORCID: https://orcid.org/0000-0001-8634-9374)
- Liangjie Tu (ORCID: https://orcid.org/0009-0008-1617-6066)
- Xiaobao Wang (ORCID: https://orcid.org/0000-0002-4653-381X)
- Xiaochuan Guo
- Weiqin Ao (ORCID: https://orcid.org/0000-0002-2242-8273)
- Z. SHI (ORCID: https://orcid.org/0000-0003-2020-6754)
- Xin Zhang (ORCID: https://orcid.org/0000-0003-0394-7972)
- Jibin Zheng (ORCID: https://orcid.org/0000-0001-7144-8388)
- Chenyang Zhou (ORCID: https://orcid.org/0000-0002-5393-4240)
- Sen Hu
Institutions
- Peking University (CN)
- Sichuan University (CN)
- Lorestan University of Medical Sciences (IR)
- The Affiliated Yongchuan Hospital of Chongqing Medical University (CN)
- Peking University First Hospital (CN)
- Ministry of Education (ET)
- First Affiliated Hospital of Henan University (CN)
- Chengdu University of Traditional Chinese Medicine (CN)
- Chongqing Medical University (CN)
Publication Details
- Journal
- Frontiers in Medicine
- Published
- 2025-08-26
- DOI
- https://doi.org/10.3389/fmed.2025.1633890
- Primary Topic
- Frailty in Older Adults
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Peking University First Hospital
- National Natural Science Foundation of China
- Peking University