Global geriatric vulnerability score

Fuzzy Cognitive Map model is associated with global geriatric vulnerability score in silico (73/77 participants (94.8%)).

“Expert-only and calibrated review classifications agreed for 73/77 participants (94.8%), and the swallowing–airway watchlist was unchanged”

In silicocomparing expert-only and calibrated review classificationsn = 77

A Machine Learning-Informed Dynamic Fuzzy Cognitive Map for Interpretable Prioritization of Multidomain Geriatric Vulnerability in Older Adults · Applied Sciences · 1 Oct 2026

Fuzzy Cognitive Map model predicts global geriatric vulnerability score in silico (22 baseline/low, 32 elevated, 21 moderate-high, 2 high).

“The global geriatric vulnerability score classified 22 participants as baseline/low, 32 as elevated, 21 as moderate-high, and 2 as high.”

In silicoin 77 hospital outpatient and nursing home older adultsn = 77

A Machine Learning-Informed Dynamic Fuzzy Cognitive Map for Interpretable Prioritization of Multidomain Geriatric Vulnerability in Older Adults · Applied Sciences · 1 Oct 2026