Prediction of Heart-Failure with Machine Learning
Condition(s) studied
Investigational drug(s) / intervention(s)
Monitoring with Apple Watch: Patients will receive Apple Watch for Monitoring of Biosignals throughout the hospital stay
Study 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.
Eligibility
Primary outcome measure(s)
- Re-hospitalization — 3 Months after discharge from hospital
Re-hospitalization due to decompensated Heart Failure
Trial sites (1)
| Facility | City | Region | Status |
|---|---|---|---|
| University Medical Center Goettingen | Goettigen | Lower Saxony | Recruiting |
More University Medical Center Goettingen trials in Germany
Other trials for the same condition
This page summarises publicly available registry data for informational purposes — not medical advice. Eligibility is determined by each study team; patients should discuss participation with their clinician.
View NCT06819618 on ClinicalTrials.gov ↗ ← All trials in Germany