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A next-generation electronic frailty index leveraging deep learning on unstructured health records extends risk prediction across the full frailty spectrum

2026-06-25

Abstract excerpt

<h4>Background</h4> Existing electronic frailty indices (eFI) are typically based on structured data and designed for older adults. We developed an eFI that integrates structured and unstructured electronic health records (EHRs) across adulthood and assessed its longitudinal trajectories and associations with adverse outcomes. <h4>Methods</h4> We used longitudinal EHR data from 193629 individuals aged 35–103 in...

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Literature Corpus work
f3c4011a-770f-5973-9fdc-2b89a203d60a
DOI
10.64898/2026.06.23.26356323
Open publication

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A next-generation electronic frailty index leveraging deep learning on unstructured health records extends risk prediction across the full frailty spectrumDOI 10.64898/2026.06.23.26356323
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