Investigating heterogeneity of cognitive and functional decline using Subtype and Stage Inference machine learning
Kellen K Petersen, Bhargav Teja Nallapu, Idris Demirsoy, Richard B Lipton, Ellen Grober, Laura Rabin, Elham Ghanbarian, Ali Ezzati · 2025
Read Investigating heterogeneity of cognitive and functional decline using Subtype and Stage Inference machine learning by Kellen K Petersen, Bhargav Teja Nallapu, Idris Demirsoy, Richard B Lipton, Ellen Grober, Laura Rabin, Elham Ghanbarian, Ali Ezzati (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-11710631.txt.
Description
Kellen Petersen and seven co-authors sort older adults by how their thinking fades, in a 2025 study. Alzheimer's disease does not follow one path: people decline in different orders and mixes of skills, and lumping them together hides those patterns.
The team used a short questionnaire on thinking and daily function, filled in by both participants and their study partners. It covered close to four thousand five hundred healthy older adults in a prevention trial. A machine learning method that sorts people by both subtype and stage found three patterns in each set of answers. The partner-based sorting put more people in the advanced patterns than the self-based one, a gap worth noting for trial design.
Catalog record
| CREATOR | Kellen K Petersen, Bhargav Teja Nallapu, Idris Demirsoy, Richard B Lipton, Ellen Grober, Laura Rabin, Elham Ghanbarian, Ali Ezzati |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 3 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |