Towards diagnostic aided systems in coronary artery disease detection: a comprehensive multiview survey of the state of the art
Introduction. Coronary artery disease (CAD) is one of the main causes of death all over the
world. One way to reduce the mortality rate from CAD is to predict its risk and take effective …
world. One way to reduce the mortality rate from CAD is to predict its risk and take effective …
Machine learning-based coronary artery disease diagnosis: A comprehensive review
Coronary artery disease (CAD) is the most common cardiovascular disease (CVD) and often
leads to a heart attack. It annually causes millions of deaths and billions of dollars in …
leads to a heart attack. It annually causes millions of deaths and billions of dollars in …
A hybrid method for heart disease diagnosis utilizing feature selection based ensemble classifier model generation
Heart disease is one of the most complicated diseases, and it affects a large number of
individuals throughout the world. In healthcare, particularly cardiology, early and accurate …
individuals throughout the world. In healthcare, particularly cardiology, early and accurate …
Coronary artery disease detection using artificial intelligence techniques: A survey of trends, geographical differences and diagnostic features 1991–2020
While coronary angiography is the gold standard diagnostic tool for coronary artery disease
(CAD), but it is associated with procedural risk, it is an invasive technique requiring arterial …
(CAD), but it is associated with procedural risk, it is an invasive technique requiring arterial …
Potential value and impact of data mining and machine learning in clinical diagnostics
Data mining involves the use of mathematical sciences, statistics, artificial intelligence, and
machine learning to determine the relationships between variables from a large sample of …
machine learning to determine the relationships between variables from a large sample of …
Empirical analysis of machine learning algorithms on imbalance electrocardiogram based arrhythmia dataset for heart disease detection
Living beings are subjected to many hazards during their course of life. Owing to high
mortality rate, heart disease (HD) is among leading hazards for living being. It is world's one …
mortality rate, heart disease (HD) is among leading hazards for living being. It is world's one …
[HTML][HTML] Role of high-sensitivity C-reactive protein (Hs-CRP) in non-communicable diseases: a review
Non-communicable diseases like cardiovascular diseases, cerebrovascular diseases,
diabetes mellitus, and cancer are very common causes of death worldwide. Therefore, the …
diabetes mellitus, and cancer are very common causes of death worldwide. Therefore, the …
Evaluation of CART, CHAID, and QUEST algorithms: a case study of construction defects in Taiwan
The type and number of defects constitute a major indicator of project quality and are thus
emphasized in project management. Therefore, it is necessary to explore appropriate tools …
emphasized in project management. Therefore, it is necessary to explore appropriate tools …
Diabetes mellitus early warning and factor analysis using ensemble Bayesian networks with SMOTE-ENN and Boruta
X Wang, J Ren, H Ren, W Song, Y Qiao, Y Zhao… - Scientific Reports, 2023 - nature.com
Diabetes mellitus (DM) has become the third chronic non-infectious disease affecting
patients after tumor, cardiovascular and cerebrovascular diseases, becoming one of the …
patients after tumor, cardiovascular and cerebrovascular diseases, becoming one of the …
New hybrid method for heart disease diagnosis utilizing optimization algorithm in feature selection
The number and size of medical databases are rapidly increasing, and the advanced
models of data mining techniques could help physicians to make efficient and applicable …
models of data mining techniques could help physicians to make efficient and applicable …