Future progression to mild cognitive impairment before diagnosis
Disease1 paper1 finding
- Humans1
Associations
1XGBoost model
upin silico1
1 study
XGBoost model
upin silico1
XGBoost model predicts future progression to mild cognitive impairment before diagnosis in silico (29.58% [28.29%–30.87%] of progressors detected before diagnosis; mean lead time 33.04 months [32.52–33.56]).
“the non-imputed models detected future progression before diagnosis in 29.58% [28.29%-30.87%] of CN to MCI progressors”
In silicoNon-imputed data; cognitively normal at baselineMean follow-up 56.1 months (range, 9.1–214.1)
Model forecasts Alzheimer's progression before diagnosis · medRxiv · 7 Oct 2026 · Preprint
Latest
1medRxivHumansPreprint
Model forecasts Alzheimer's progression before diagnosis
In 15,727 participants, a model detected decline before diagnosis in 22.41% of people progressing from mild cognitive impairment to Alzheimer's…In 15,727 participants, a model detected decline before diagnosis in 22.41% of people progressing from mild cognitive impairment to Alzheimer's disease.