Acute Care for Elders Risk Score: A Practical Machine Learning–Based Tool for Screening High-Risk Older Inpatients
The ACE Risk Score is a practical, interpretable, and scalable tool for early identification of high-risk older inpatients, using data available on the first day of admission. It supports timely, targeted interventions by geriatric teams. The score may facilitate broader implementation of risk-guided care strategies for older adults in hospital settings.
Authors
- Sunghwan Ji (ORCID: https://orcid.org/0000-0002-8150-933X)
- Jae Yong Yu (ORCID: https://orcid.org/0000-0001-6922-8538)
- Hee‐Won Jung (ORCID: https://orcid.org/0000-0002-2583-3354)
- Il‐Young Jang (ORCID: https://orcid.org/0000-0003-3617-3301)
- Eun‐Ju Lee (ORCID: https://orcid.org/0000-0003-4612-0625)
- Yura Lee (ORCID: https://orcid.org/0000-0003-1420-4672)
- Ji Yeon Baek (ORCID: https://orcid.org/0000-0001-7547-8015)
- Geundoo Jang
Institutions
- Ulsan College (KR)
- Hallym University (KR)
- Hallym Polytechnic University (KR)
- Asan Medical Center (KR)
- University of Ulsan (KR)
Publication Details
- Journal
- Journal of the American Medical Directors Association
- Published
- 2025-09-02
- DOI
- https://doi.org/10.1016/j.jamda.2025.105818
- Citations
- 2
- Primary Topic
- Frailty in Older Adults
- Type
- article
- Field-Weighted Citation Impact
- 2.45
Funders
- Ministry of Health and Welfare
- Korea Health Industry Development Institute