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Optimizing Temporal Windows for Wearable-Augmented Post-Discharge Risk Prediction: A Methods Study
2026-01-23
health informatics
Title + abstract only
View on medRxiv
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ObjectiveTo identify optimal modeling parameters for dynamically predicting hospital readmission risk using post-discharge step-count data from remote monitoring devices. MethodsWe combined data from two clinical studies that collected wearable or smartphone-based activity data for up to 6 months after hospital discharge. Analyses were limited to older adults ([≥]55 years). We constructed a patient-day dataset incorporating static demographic and clinical variables and dynamic activity featu...
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