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 …
Coronary artery disease detection using artificial intelligence techniques: A survey of trends, geographical differences and diagnostic features 1991–2020
R Alizadehsani, A Khosravi, M Roshanzamir… - Computers in Biology …, 2021 - Elsevier
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 …
[HTML][HTML] Comparing different supervised machine learning algorithms for disease prediction
Supervised machine learning algorithms have been a dominant method in the data mining
field. Disease prediction using health data has recently shown a potential application area …
field. Disease prediction using health data has recently shown a potential application area …
Identification of significant features and data mining techniques in predicting heart disease
Cardiovascular disease is one of the biggest cause for morbidity and mortality among the
population of the world. Prediction of cardiovascular disease is regarded as one of the most …
population of the world. Prediction of cardiovascular disease is regarded as one of the most …
A decision model based on decision tree and particle swarm optimization algorithms to identify optimal locations for solar power plants construction in Iran
Sustainable energy sources such as solar energy are the most common renewable
alternatives to fossil fuels. The first step in expanding the use of solar energy is to identify …
alternatives to fossil fuels. The first step in expanding the use of solar energy is to identify …
Heart disease prediction using hyper parameter optimization (HPO) tuning
R Valarmathi, T Sheela - Biomedical Signal Processing and Control, 2021 - Elsevier
Coronary artery disease prediction is considered to be one of the most challenging tasks in
the health care industry. In our research, we propose a prediction system to detect the heart …
the health care industry. In our research, we propose a prediction system to detect the heart …
Machine learning in healthcare: review, opportunities and challenges
Abstract Machine learning technology is a prominent research field aiming to build a system
which imitates human intelligence. Machine learning can be applied in the healthcare …
which imitates human intelligence. Machine learning can be applied in the healthcare …
Pandemic coronavirus disease (Covid‐19): World effects analysis and prediction using machine‐learning techniques
Abstract Pandemic novel Coronavirus (Covid‐19) is an infectious disease that primarily
spreads by droplets of nose discharge when sneezing and saliva from the mouth when …
spreads by droplets of nose discharge when sneezing and saliva from the mouth when …
Feature analysis of coronary artery heart disease data sets
R El-Bialy, MA Salamay, OH Karam… - Procedia Computer …, 2015 - Elsevier
Data sets dealing with the same medical problems like Coronary artery disease (CAD) may
show different results when applying the same machine learning technique. The …
show different results when applying the same machine learning technique. The …
Heart disease prediction using machine learning techniques
A Garg, B Sharma, R Khan - IOP Conference series: materials …, 2021 - iopscience.iop.org
Abstract Machine Learning (ML), which is one of the most prominent applications of Artificial
Intelligence, is doing wonders in the research field of study. In this paper machine learning is …
Intelligence, is doing wonders in the research field of study. In this paper machine learning is …