AI analyzes heart failure Patients' stress and health literacy to predict quality of life

NCT ID NCT06923514

Completed Knowledge-focused Sponsor: Cheng-Hsin General Hospital Source: ClinicalTrials.gov ↗

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.

This is an AI summary of the original study and may miss details. Read our disclaimer.

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Conditions

The condition(s) this trial relates to.

heart failure

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

HEART FAILURE

Contacts and locations

Locations

Cheng Hsin General Hospital

Taipei, 112, Taiwan

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Other studies related to the condition(s) this trial covers.