DALLAS, Nov. 10, 2023 — A new calculator estimates a person’s risk for cardiovascular disease (CVD) over the next 30 years by combining measures of cardiovascular, kidney and metabolic health for the first time, according to a new American Heart Association Scientific Statement published today in the Association’s flagship journal Circulation.

Mar 1, 2024 · The PREVENT equation is a new online calculator to predict a person's odds of developing heart disease. Compared to previous calculators, the updated tool considers broader measures of health and a longer age span.

Oct 7, 2024 · We used the Synthetic Minority Oversampling Technique (SMOTE) to eliminate inconsistent data and discover the machine learning algorithm that achieves the most accurate heart disease...

Nov 10, 2023 · Experts have unveiled a new tool to predict a person's long-term risk of cardiovascular disease, one that includes broader measures of health and provides sex-specific results but leaves out considerations of race.

6 days ago · A study recently published in the Journal of the American Heart Association led by Emory University Investigators uses a stress test to investigate the mind-body connection as it relates to heart disease.

6 days ago · The results from the overall tests showed how stress-related changes in blood flow and blood vessel function can be directly linked to heart disease.

Oct 10, 2023 · Early detection and accurate heart disease prediction can help effectively manage and prevent the disease. However, the traditional methods have failed to improve heart disease classification performance.

This study aims to identify the optimal model for predicting heart disease by employing different classification methods of machine learning, including Logistic Regression (LR) and Support Vector Machine. keywords Artificial intelligence, machine learning, prediction of heart disease, selection of features, decision trees, logistic regression ...

Oct 27, 2024 · Abstract Cardiovascular disease (CVD) remains a major cause of mortality in the UK, prompting the need for improved risk predictive models for primary prevention. Machine learning (ML) models utilizing electronic health records (EHRs) offer potential enhancements over traditional risk scores like QRISK3 and ASCVD. To systematically evaluate and compare the efficacy of ML models against ...

Nov 5, 2024 · Study findings revealed that the novel model (named ‘AIRE’) can accurately predict all-cause mortality, ventricular arrhythmia, atherosclerotic CVD, and heart failure risk.