Predicting heart failure outcomes with machine learning
Part of Heart & circulation clinical trials.
This trial uses machine learning to analyze data from a smartwatch to predict how heart failure progresses. It may help doctors better understand your condition and tailor treatments.
Summary written for real people, not researchers, by Clin2.
Who can take part
- You are 18 years or older.
- You have heart failure with reduced ejection fraction (HFrEF) – meaning your heart's pumping ability is below 41%.
- You are currently in the hospital for worsening heart failure symptoms.
- Your NT-proBNP blood level is over 1000 (a sign of heart strain).
- You have at least one sign of fluid buildup, such as swollen legs or belly, or fluid in your lungs (edema, ascites, or pleural effusion).
- You are willing and able to use a smartwatch for the study.
Quick eligibility check
Answer a few plain-language questions, based on this study's own requirements, to get a preliminary sense of fit.
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