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AI-assisted screening for mild cognitive impairment using routine EHR data: a Gradient Boosting approach
0
Zitationen
2
Autoren
2026
Jahr
Abstract
An ML model using routine outpatient EHR can discriminate MCI in older adults (AUC ≈ 0.85), supporting potential for automated, low-cost screening in primary care. Using the predicted probabilities generated in this analysis, we assessed calibration and conducted a decision-curve analysis. While the model shows good discrimination and calibration, external validation is still required to confirm clinical utility and refine operating thresholds.
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