[PDF][PDF] Modeling and design of evolutionary neural network for heart disease detection

KS Kavitha, KV Ramakrishnan, MK Singh - International Journal of …, 2010 - Citeseer
This research is having purpose to find the alternatives to the solution of complex medical
diagnosis in detection of heart disease where human knowledge is apprehended in a …

[PDF][PDF] Heart disease classification using optimized Machine learning algorithms

MA Kadhim, AM Radhi - Iraqi Journal For Computer Science and …, 2023 - iasj.net
Early detection of heart disease is exceptionally critical to saving the lives of human beings.
Heart attack is one of the primary causes of high death rates throughout the world, due to the …

[PDF][PDF] Prediction of heart disease using machine learning algorithms

A Pandita, S Vashisht, A Tyagi… - International Journal for …, 2021 - academia.edu
Heart diseases have been the primary reason for death all over the world. Majority of the
deaths related to cardiovascular problems are caused by heart attacks and strokes. The …

Cardiac Disease Prediction using Supervised Machine Learning Techniques.

C Gupta, A Saha, NVS Reddy… - Journal of Physics …, 2022 - iopscience.iop.org
Diagnosis of cardiac disease requires being more accurate, precise, and reliable. The
number of death cases due to cardiac attacks is increasing exponentially day by day. Thus …

[PDF][PDF] Heart disease prediction and classification using machine learning algorithms optimized by particle swarm optimization and ant colony optimization.

Y Khourdifi, M Baha - … journal of Intelligent engineering & systems, 2019 - academia.edu
The prediction of heart disease is one of the areas where machine learning can be
implemented. Optimization algorithms have the advantage of dealing with complex non …

[PDF][PDF] A hybrid approach to medical decision-making: diagnosis of heart disease with machine-learning model

T Suresh, TA Assegie, S Rajkumar, NK Kumar - Int J Elec Comp Eng, 2022 - academia.edu
Heart disease is one of the most widely spreading and deadliest diseases across the world.
In this study, we have proposed hybrid model for heart disease prediction by employing …

A hybrid intelligent system framework for the prediction of heart disease using machine learning algorithms

AU Haq, JP Li, MH Memon, S Nazir… - Mobile information …, 2018 - Wiley Online Library
Heart disease is one of the most critical human diseases in the world and affects human life
very badly. In heart disease, the heart is unable to push the required amount of blood to …

[PDF][PDF] Comparison of accuracy level of support vector machine (SVM) and K-nearest neighbors (KNN) algorithms in predicting heart disease

DA Anggoro, ND Kurnia - International Journal, 2020 - academia.edu
Heart disease receives a lot of attention in medical research because of its great effect on
the human health state. Based on cases in 2008, it was estimated that more than 3 million …

[PDF][PDF] SVM based decision support system for heart disease classification with integer-coded genetic algorithm to select critical features

S Bhatia, P Prakash, GN Pillai - Proceedings of the world congress on …, 2008 - iaeng.org
This paper presents a decision support system for heart disease classification based on
support vector machine (SVM) and integer-coded genetic algorithm (GA). Simple Support …

[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 …