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# Machine learning predicted six-month mortality after Taiwanese care-home admission
- URL: https://www.coios.me/machine-learning-predicted-six-month-mortality-after/
- Published: 2026-09-18T23:15:07.000Z
- Updated: 2026-09-18T23:15:07.000Z
- Description: An ensemble machine learning model built only from routine intake assessments in 636 Taiwanese long-term care facilities predicted death within 180 days of first admission with an AUROC of 0.90 in a held-out 2024 cohort, where 28.7% of new residents died.
- Author: Daniel Ryan
- Tags: Emergent technology, AI in medicine, Capacity, funding and care, Frailty and multimorbidity at the oldest ages, Taiwan, #peer-reviewed, #new, #item, #source-2026-09

Researchers developed an interpretable gradient-boosting and random-forest ensemble to predict 180-day all-cause mortality among older adults newly admitted to long-term care facilities in Taiwan, using only assessment data available at intake. In 23,901 residents admitted 2020-2023, 22.1% died within six months; in the 2024 temporal validation cohort of 6,216, 28.7% died and the model reached an AUROC of 0.90 (95% CI 0.89-0.91) with calibration weakening at the highest predicted risks. Frequent hospitalisation in the prior six months, impairment in activities of daily living and weight loss were the most influential predictors.

*Why it is interesting: A prognostic model that needs no hospital record linkage, validated on a later cohort, with a background mortality rate after care-home entry that is itself notable.*

Source

[JMIR aging, 2026-09-16](https://doi.org/10.2196/94567?ref=coios.me)

DOI

10.2196/94567

Type

Peer-reviewed article

Design

Retrospective cohort using a nationwide private LTCF registry (636 facilities); development n=23,901 (2020-2023), temporal external validation n=6,216 (2024)

Verdict

New finding

Driver

[AI in medicine](https://www.coios.me/d-ai-medicine/)

Driver

[Capacity, funding and care](https://www.coios.me/d-capacity-funding/)

Driver

[Frailty and multimorbidity at the oldest ages](https://www.coios.me/d-frailty-multimorbidity/)