Decision tree-based diagnosis of coronary artery disease: CART model
Abstract Background and Objective As the most common cardiovascular defect, coronary
artery disease (CAD), also called ischemic heart disease, is one of the substantial causes of …
artery disease (CAD), also called ischemic heart disease, is one of the substantial causes of …
Effective heart disease prediction using machine learning techniques
The diagnosis and prognosis of cardiovascular disease are crucial medical tasks to ensure
correct classification, which helps cardiologists provide proper treatment to the patient …
correct classification, which helps cardiologists provide proper treatment to the patient …
Prediction of heart disease and classifiers' sensitivity analysis
KM Almustafa - BMC bioinformatics, 2020 - Springer
Background Heart disease (HD) is one of the most common diseases nowadays, and an
early diagnosis of such a disease is a crucial task for many health care providers to prevent …
early diagnosis of such a disease is a crucial task for many health care providers to prevent …
A hybrid GA and PSO optimized approach for heart-disease prediction based on random forest
Nowadays, heart diseases are significantly contributing to deaths all over the world. Thus,
heart-disease prediction has garnered considerable attention in the medical domain …
heart-disease prediction has garnered considerable attention in the medical domain …
Design and implementing heart disease prediction using naives Bayesian
AN Repaka, SD Ravikanti… - 2019 3rd International …, 2019 - ieeexplore.ieee.org
Data mining, a great develo** technique that revolves around exploring and digging out
significant information from massive collection of data which can be further beneficial in …
significant information from massive collection of data which can be further beneficial in …
Predicting heart disease at early stages using machine learning: a survey
R Katarya, P Srinivas - 2020 International Conference on …, 2020 - ieeexplore.ieee.org
Predicting and detection of heart disease has always been a critical and challenging task for
healthcare practitioners. Hospitals and other clinics are offering expensive therapies and …
healthcare practitioners. Hospitals and other clinics are offering expensive therapies and …
The efficacy of machine-learning-supported smart system for heart disease prediction
The disease may be an explicit status that negatively affects human health. Cardiopathy is
one of the common deadly diseases that is attributed to unhealthy human habits compared …
one of the common deadly diseases that is attributed to unhealthy human habits compared …
MIFH: A machine intelligence framework for heart disease diagnosis
Cardiovascular disease tops the list among all major causes of deaths worldwide. Though,
prognostication and in-time diagnosis can help in reducing the mortality rate as well as …
prognostication and in-time diagnosis can help in reducing the mortality rate as well as …
[HTML][HTML] Improved sparse autoencoder based artificial neural network approach for prediction of heart disease
In this paper a two stage method is proposed to effectively predict heart disease. The first
stage involves training an improved sparse autoencoder (SAE), an unsupervised neural …
stage involves training an improved sparse autoencoder (SAE), an unsupervised neural …
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 …