Coronary artery disease (CAD) is a leading cause of death globally. Coronary computed tomography angiography (CCTA) is an accurate non-invasive imaging method to diagnose or exclude coronary atherosclerosis and obstructive CAD.1CCTA ...
For heart disease prediction, an ensemble model ET-CNN is presented which provides an accuracy score of 0.9524. The investigative data related to this system is very encouraging in real-time reporting and classifying heart patients with great accuracy....
Rather than being an encapsulated disease, HF should be viewed as a heterogeneous syndrome, consisting of multiple clinical entities and different stages. HF can be categorised as HF with reduced ejection fraction (HFrEF; left ventricle ejection fraction [LVEF], ≤40%), HF with mildly reduced ej...
Reclassification of Ten Year Risk Prediction for Coronary Heart Disease Based on the Integrated Discrimination Index in the Multi-Ethnic Study of Atherosclerosis and the Rotterdam Study Table 8. Reclassification of Coronary Heart Disease Risk in the Multi-Ethnic Study of Atherosclerosis and Rotterdam Stud...
When the coronary arteries narrow to the point that blood flow to the heart muscle is limited (coronary artery disease), a network of tiny blood vessels in the heart that aren't usually open called collateral vessels may enlarge and become active. This allows blood to flow around the blocked...
In recent years, relevant studies have revealed that it has certain potential application value in the diagnosis of CHD, prediction of adverse cardiovascular events, monitoring of disease progression and evaluation of prognosis [10,11,12]. At present, there have been related studies on clinical ...
An optimized neural network using genetic Algorithm for Cardiovascular Disease prediction. Journal of Advances in Information Technology; 2022. Lin CM, Lin YS. Utilizing a two-stage Taguchi Method and Artificial neural network for the precise forecasting of Cardiovascular Disease risk [J]. Bioeng (...
When the coronary arteries narrow to the point that blood flow to the heart muscle is limited (coronary artery disease), a network of tiny blood vessels in the heart that aren't usually open called collateral vessels may enlarge and become active. This allows blood to flow around the blocked...
Atherosclerosis is the main cause of stroke and coronary heart disease (CHD), both leading mortality causes worldwide. Proteomics, as a high-throughput method, could provide helpful insights into the pathological mechanisms underlying atherosclerosis. In
By adopting this comprehensive approach, our study aimed to develop a robust and accurate heart disease prediction model. 3. Methodology Figure 1 shows a flow chart diagram that outlines the sequential steps involved in predicting the probability of heart disease. The diagram visually depicts the ...