Applications of Machine Learning for Cognitive Health in Older Individuals With HIV: Rapid Systematic Review
Hwayoung Cho, Jiyoun Song, Hannah Cho, Lin Li, Renjie Liang, Railton Miranda, Qianqian Song, Jiang Bian, Narayan Schütz · 2025
Read Applications of Machine Learning for Cognitive Health in Older Individuals With HIV: Rapid Systematic Review by Hwayoung Cho, Jiyoun Song, Hannah Cho, Lin Li, Renjie Liang, Railton Miranda, Qianqian Song, Jiang Bian, Narayan Schütz (2025) 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-12755898.txt.
Description
Cho and co-authors review machine learning for brain health in older people with HIV in a 2025 paper. More than half of people with HIV are now over fifty, and their dementia risk runs about sixty percent above the general public's. Learning algorithms fed by growing datasets promise earlier detection and better monitoring. The rapid review gathers what has actually been tried.
It sorts the models by task and data type, then marks where the field should go next. Aging with HIV is a success story of treatment that created a new frontier of care. A clear map of the modeling evidence helps clinics adopt tools that work and skip those that merely publish.
Catalog record
| CREATOR | Hwayoung Cho, Jiyoun Song, Hannah Cho, Lin Li, Renjie Liang, Railton Miranda, Qianqian Song, Jiang Bian, Narayan Schütz |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 30 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |