AI analyzes heart failure Patients' stress and health literacy to predict quality of life
NCT ID NCT06923514
First seen Jun 25, 2026 · Last updated Jun 27, 2026 · Updated 1 time
Summary
This completed study looked at 158 heart failure patients aged 18-65 to see how health literacy and stress relate to their quality of life. Researchers used machine learning to analyze survey data. The goal was to find patterns that could help nurses and doctors better support patients and reduce hospital readmissions.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
What this could lead to
If successful, this could help doctors better predict which heart failure patients need extra support to improve their quality of life and reduce hospital readmissions.
What could go wrong
This is a small, completed observational study, not a treatment trial. The findings may not apply to all heart failure patients, and machine learning predictions are not guaranteed to improve care.
Disclaimer
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This is a summary of
the original study
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Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
This is a summary of the original study . Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
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Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
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Locations
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Cheng Hsin General Hospital
Taipei, 112, Taiwan