A proposed technique for predicting heart disease using ...
2024年10月7日 · We used the Synthetic Minority Oversampling Technique (SMOTE) to eliminate inconsistent data and discover the machine learning algorithm that achieves the most accurate …
Enhancing heart disease prediction using a self-attention ...
2024年1月4日 · In this work, we deploy a novel self-attention-based transformer model, that combines self-attention mechanisms and transformer networks to predict CVD risk. The self …
Machine learning prediction in cardiovascular diseases: a ...
2020年9月29日 · Several machine learning (ML) algorithms have been increasingly utilized for cardiovascular disease prediction. We aim to assess and summarize the overall predictive …
Early prediction of heart disease with data analysis using ...
2023年10月10日 · Heart diseases are consistently ranked among the top causes of mortality on a global scale. Early detection and accurate heart disease prediction can help effectively …
Heart Disease Prediction Using Machine Learning | IEEE ...
Cardiovascular disease refers to any critical condition that impacts the heart. Because heart diseases can be life-threatening, researchers are focusing on designing smart systems to …
Effectively Predicting the Presence of Coronary Heart Disease ...
In this paper, we used eleven ML classifiers to identify key features, which improved the predictability of heart disease. To introduce the prediction model, various feature combinations …
New tool brings big changes to cardiovascular disease predictions
2023年11月10日 · 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 …