... learning algorithms), along with patient-specific characteristics. A Prediction model can be trained from large, labeled datasets to infer the presence and/or severity of disease, the time-course of functional or neuromotor recovery, response to treatment, and other outcomes for care planning...

...-world interpretability. We propose a novel algorithm to measure kinetic tremor amplitude using digital spiral drawings, applying the V3 framework (sensor verification, analytical validation, and clinical validation) to establish reliability and clinical utility. Methods: Archimedes spiral drawings were...

.... Algorithms App-based digital biomarkers Cough Digital measurement Machine learning Respiratory Cough is a common and meaningful symptom in many respiratory diseases, with both characteristic sounds and movements. Monitoring and measurement of cough in clinical trials and routine care typically...

... and the editor(s) disclaim responsibility for any injury to persons or property resulting from any ideas, methods, instructions or products referred to in the content or advertisements. Activity monitors Algorithms Data Mobility Wearable physical activity monitoring Wearable sensors Assessment...