Progression from cognitively normal status to mild cognitive impairment
Disease1 paper1 finding
- Humans1
Associations
1XGBoost model
upin silico1
1 study
XGBoost model
upin silico1
XGBoost model predicts progression from cognitively normal status to mild cognitive impairment in silico (AUC-ROC 0.9447 [0.9417–0.9476]; PR-AUC 0.8554 [0.8497–0.8611]).
“our models achieved an AUC-ROC of 0.9447 [0.9417-0.9476] and PR-AUC of 0.8554 [0.8497-0.8611] for the CN to MCI task”
In silicoNon-imputed data; cognitively normal at baseline
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.