2021
DOI: 10.15829/1560-4071-2021-4618
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Improvement of cardiovascular risk assessment using machine learning methods

Abstract: The increase in the prevalence of cardiovascular diseases (CVDs) specifies the importance of their prediction, the need for accurate risk stratification, preventive and treatment interventions. Large medical databases and technologies for their processing in the form of machine learning algorithms that have appeared in recent years have the potential to improve predictive accuracy and personalize treatment approaches to CVDs. The review examines the application of machine learning in predicting and identifying… Show more

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Cited by 6 publications
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