Machine learning model can identify likely non-responders to exercise-based cardiac rehabilitation
Researchers have developed a machine learning model capable of identifying patients who are unlikely to respond to exercise-based cardiac rehabilitation. This tool aims to help clinicians personalize treatment plans for individuals with coronary artery disease.
Why it matters
Predictive modeling in healthcare can improve patient outcomes by identifying those who need alternative interventions early in the treatment process.
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