Machine Learning Ensemble Prediction of Clinical Dementia Rating Using MultiModal Data
Danika Gupta, Sindhu Ghanta · 2025
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Description
Danika Gupta and Sindhu Ghanta build a prediction system in a 2025 paper on dementia staging. Early and exact tracking of Alzheimer's disease helps doctors act in time. The team set out to forecast a standard dementia rating score from data of many kinds.
Data came from a long study that tracked 1,098 patients over 30 years. Brain scans, brain size measures, and clinic records were joined for each person. Image networks read the scans, while classic learning methods handled the numbers and notes. A mix of models was then combined to lift forecast accuracy. The work tests how far joined data can push staging from records alone.
Catalog record
| CREATOR | Danika Gupta, Sindhu Ghanta |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 3 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |