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Traditional prediction models allow population based inferences. Machine learning explores datasets to develop algorithms that do not assume linear relationships between variables and outcomes and that account for higher order… Click to show full abstract
Traditional prediction models allow population based inferences. Machine learning explores datasets to develop algorithms that do not assume linear relationships between variables and outcomes and that account for higher order interactions to make individualized outcome predictions. Data on 24,178
Keywords:
traditional risk;
machine;
learning versus;
versus traditional;
risk stratification;
machine learning
Journal Title: Journal of the American College of Cardiology
Year Published: 2019
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Journal Title: Journal of the American College of Cardiology
Year Published: 2019
Link to full text (if available)
Share on Social Media: Sign Up to like & get
recommendations!