Computer‐Aided Diagnostics of Heart Disease Risk Prediction Using Boosting Support Vector Machine

E Owusu, P Boakye-Sekyerehene… - Computational …, 2021 - Wiley Online Library
Heart diseases are a leading cause of death worldwide, and they have sparked a lot of
interest in the scientific community. Because of the high number of impulsive deaths …

Analysis of pre-processing and post-processing methods and using data mining to diagnose heart diseases

H Hamidi, A Daraee - International Journal of Engineering, 2016 - ije.ir
Today, a great deal of data is generated in the medical field. Acquiring useful knowledge
from this raw data requires data processing and detection of meaningful patterns and this …

Effective study of machine learning algorithms for heart disease prediction

MJ Gaikwad, PS Asole, LS Bitla - 2022 2nd International …, 2022 - ieeexplore.ieee.org
Heart disease has been a major public health concern in recent years, excessive alcohol
consumption, cigarette, and a sedentary lifestyle are the primary factors, and it is the leading …

[PDF][PDF] Neural network based intelligent system for predicting heart disease

K Subhadra, B Vikas - International Journal of Innovative …, 2019 - researchgate.net
Heart disease diagnosis has become a difficult task in the field of medicine. This diagnosis
depends on a thorough and accurate study of the patient's clinical tests data on the health …

Implementation of Machine Learning Approach for Detecting Cardiovascular Diseases

SKH Kauser, D Gowda, RC Tanguturi… - 2023 3rd International …, 2023 - ieeexplore.ieee.org
The rapidly expanding discipline of data analysis has an important role to play in the
medical industry. Using this knowledge, we can uncover previously concealed details that …

Effective diagnosis of heart disease through neural networks ensembles

R Das, I Turkoglu, A Sengur - Expert systems with applications, 2009 - Elsevier
In the last decades, several tools and various methodologies have been proposed by the
researchers for developing effective medical decision support systems. Moreover, new …

Efficient model for coronary artery disease diagnosis: a comparative study of several machine learning algorithms

A Garavand, C Salehnasab… - Journal of …, 2022 - Wiley Online Library
Background. In today's industrialized world, coronary artery disease (CAD) is one of the
leading causes of death, and early detection and timely intervention can prevent many of its …

Classification of death related to heart failure by machine learning algorithms

R Gürfidan, M Ersoy - Advances in Artificial Intelligence Research, 2021 - dergipark.org.tr
The increase in the number of individuals with heart diseases and deaths associated with
these diseases tops the list of causes of death. Early detection and treatment can reduce the …

[PDF][PDF] Heart disease prediction using machine learning techniques: a survey

VV Ramalingam, A Dandapath… - International Journal of …, 2018 - researchgate.net
Heart related diseases or Cardiovascular Diseases (CVDs) are the main reason for a huge
number of death in the world over the last few decades and has emerged as the most life …

Kernel parameter tuning to tweak the performance of classifiers for identification of heart diseases

A Dhankhar, S Juneja, A Juneja, V Bali - International Journal of E …, 2021 - igi-global.com
Medical data analysis is being recognized as a field of enormous research possibilities due
to the fact there is a huge amount of data available and prediction in initial stage may save …