Undiagnosed dementia risk score
1 paper3 findings
- In silico1
Upstream
2Health-records
upin humans1
1 study
Health-records
upin humans1
health-records improve undiagnosed dementia risk score in humans (c-statistic 0.801 (95% CI 0.799, 0.804)).
“with a small added benefit from incorporating new claims-based predictors (0.801 [0.799; 0.804]).”
Humansincorporating new claims-based predictors
Journal of Alzheimer's disease : JAD12 Aug 2026
Machine-learning
upin humans1
1 study
Machine-learning
upin humans1
machine-learning improves undiagnosed dementia risk score in humans (c-statistic 0.795 (95% CI 0.792, 0.798)).
“and was improved by refitting the model (0.795 [0.792, 0.798])”
Humansrefitting the model
Journal of Alzheimer's disease : JAD12 Aug 2026
Associations
1Health-records
upin humans1
1 study
Health-records
upin humans1
health-records predict undiagnosed dementia risk score in humans (c-statistic 0.770 (95% CI 0.767, 0.773)).
“Model discrimination was good when applying EHR-based coefficients to Medicare claims-based predictors (c-statistic [95% confidence interval]: 0.770 [0.767, 0.773])”
Humansapplying EHR-based coefficients to Medicare claims-based predictors
Journal of Alzheimer's disease : JAD12 Aug 2026
Latest
1 in 12 monthsJournal of Alzheimer's Disease
Development and validation of machine learning models to predict risk of undiagnosed dementia using healthcare claims and electronic health record data
Computational studyDementia