A dynamic risk prediction framework for Alzheimer's disease and related dementias with interpretability
Xiaoyang Ruan, Shuyu Lu, Sunyang Fu, Jaerong Ahn, Fang Chen, Rui Li, Andrew Wen, Liwei Wang, Ezenwa Onyema, Victoria Tang, Hongfang Liu · 2026
Read A dynamic risk prediction framework for Alzheimer's disease and related dementias with interpretability by Xiaoyang Ruan, Shuyu Lu, Sunyang Fu, Jaerong Ahn, Fang Chen, Rui Li, Andrew Wen, Liwei Wang, Ezenwa Onyema, Victoria Tang, Hongfang Liu (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13260447.txt.
Description
A live risk score for dementia from health records is built by Xiaoyang Ruan and co-authors in work dated 2026. Dementia brews for years before signs show. Records are cheap and wide, but visits come ragged and data runs thin. Their model blends a decay-aware sequence net with attention, so its calls can be read. One Texas record set trained it, and a national cohort checked it.
Scores held near fair strength eight years out from diagnosis. How much data a file held mattered more than span watched. Case reads stayed steady, though reason weights wobbled.
Catalog record
| CREATOR | Xiaoyang Ruan, Shuyu Lu, Sunyang Fu, Jaerong Ahn, Fang Chen, Rui Li, Andrew Wen, Liwei Wang, Ezenwa Onyema, Victoria Tang, Hongfang Liu |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 59 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |