Clinical Research Directory

Prediction of Heart-Failure with Machine Learning

Sponsor: University Medical Center Goettingen

Summary

In this monocentric observational study the research question is to what extent data collected via Apple Watch can predict the heart failure status of decompensated HF patients. For this purpose, physiological data from the Apple Watch (such as single-lead electrocardiogram, SpO2, respiratory rate, step count, nighttime temperature, etc.) will be extracted and used as predictor variables to forecast outcomes like risk of decompensation and rehospitalization within the follow-up period. Since this is a data-driven study, additional data collected as part of guideline-compliant treatment will also be included.

Official title: Predicting Heart Failure Recovery by Wearables and Machine Learning

Key Details

Conditions

Interventions

Locations (1)