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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 …
Effective heart disease prediction using hybrid machine learning techniques
Heart disease is one of the most significant causes of mortality in the world today. Prediction
of cardiovascular disease is a critical challenge in the area of clinical data analysis. Machine …
of cardiovascular disease is a critical challenge in the area of clinical data analysis. Machine …
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 …
[PDF][PDF] A survey on prediction techniques of heart disease using machine learning
M Limbitote, K Damkondwar… - … & technology (ijert), 2020 - pdfs.semanticscholar.org
Heart is one of the most important part of the body. It helps to purify and circulate blood to all
parts of the body. Most number of deaths in the world are due to Heart Diseases. Some …
parts of the body. Most number of deaths in the world are due to Heart Diseases. Some …
Amended fused TOPSIS-VIKOR for classification (ATOVIC) applied to some UCI data sets
L Baccour - Expert Systems with Applications, 2018 - Elsevier
Classification procedure is an important task of expert and intelligent systems. Develo**
new algorithms of classification which improve accuracy or true positive rates could have an …
new algorithms of classification which improve accuracy or true positive rates could have an …
Prediction of cardiovascular disease through cutting-edge deep learning technologies: an empirical study based on TENSORFLOW, PYTORCH and KERAS
In healthcare system, the predictive modelling procedure for risk estimation of
cardiovascular disease is extremely challenging and an inevitable task. Therefore, the …
cardiovascular disease is extremely challenging and an inevitable task. Therefore, the …
Improving the heart disease diagnosis by evolutionary algorithm of PSO and Feed Forward Neural Network
MG Feshki, OS Shijani - 2016 Artificial Intelligence and …, 2016 - ieeexplore.ieee.org
The considerable growing of cardiovascular disease and its effects and complications as
well as the high costs on society makes medical community seek for solutions to prevention …
well as the high costs on society makes medical community seek for solutions to prevention …
Ensemble approach for develo** a smart heart disease prediction system using classification algorithms
In health care informatics, the predictive modeling solution for cardiovascular risk estimation
is extremely challenging. Thus, the attempt to clinically screen the medical databases and …
is extremely challenging. Thus, the attempt to clinically screen the medical databases and …
Efficient heart disease classification through stacked ensemble with optimized firefly feature selection
K Natarajan, V Vinoth Kumar, TR Mahesh… - International Journal of …, 2024 - Springer
In the current century, heart-related sickness is one of the important causes of death for all
humans. An estimated 17.5 million deaths occur due to heart disease worldwide. It is …
humans. An estimated 17.5 million deaths occur due to heart disease worldwide. It is …
RETRACTED ARTICLE: Feature optimization by discrete weights for heart disease prediction using supervised learning
The topic predictive analytics is the ray that lightning the way to patch the gap between
accuracy in decision-making by the expertise and the inexperience. In particular, the health …
accuracy in decision-making by the expertise and the inexperience. In particular, the health …