Hybrid genetic algorithm and a fuzzy logic classifier for heart disease diagnosis

GT Reddy, MPK Reddy, K Lakshmanna… - Evolutionary …, 2020 - Springer
For the past two decades, most of the people from developing countries are suffering from
heart disease. Diagnosing these diseases at earlier stages helps patients reduce the risk of …

[Retracted] An Intelligent and Reliable Hyperparameter Optimization Machine Learning Model for Early Heart Disease Assessment Using Imperative Risk Attributes

SI Ansarullah, S Mohsin Saif… - Journal of healthcare …, 2022 - Wiley Online Library
Heart disease is a severe disorder, which inflicts an adverse burden on all societies and
leads to prolonged suffering and disability. We developed a risk evaluation model based on …

Fisher score and Matthews correlation coefficient-based feature subset selection for heart disease diagnosis using support vector machines

SM Saqlain, M Sher, FA Shah, I Khan… - … and Information Systems, 2019 - Springer
Heart is one of the essential operating organs of the human body and its failure is a major
contributing factor toward the human deaths. Coronary heart disease may be asymptotic but …

Support vector machines-based heart disease diagnosis using feature subset, wrapping selection and extraction methods

SMS Shah, FA Shah, SA Hussain, S Batool - Computers & Electrical …, 2020 - Elsevier
Heart disease is one of the leading causes of human death and in the absence of an
accurate diagnosis, there are limitations to beat it. In this research, an automatic diagnostic …

Rough computing—A review of abstraction, hybridization and extent of applications

DP Acharjya, A Abraham - Engineering Applications of Artificial Intelligence, 2020 - Elsevier
The rapid growth of information and communication technology captured common man and
various organizations and influenced each individual's life, work, and study. It leads to a data …

Optimized levy flight model for heart disease prediction using CNN framework in big data application

A Jain, ACS Rao, PK Jain, YC Hu - Expert Systems with Applications, 2023 - Elsevier
Cardiac disease is one of the most complex diseases globally. It affects the lives of humans
critically. It is essential for accurate and timely diagnosis to treat heart failure and prevent the …

Non-invasive detection of coronary artery disease in high-risk patients based on the stenosis prediction of separate coronary arteries

R Alizadehsani, MJ Hosseini, A Khosravi… - Computer methods and …, 2018 - Elsevier
Background and objective Cardiovascular diseases are an extremely widespread sickness
and account for 17 million deaths in the world per annum. Coronary artery disease (CAD) is …

Feature extraction through parallel probabilistic principal component analysis for heart disease diagnosis

SMS Shah, S Batool, I Khan, MU Ashraf… - Physica A: Statistical …, 2017 - Elsevier
Automatic diagnosis of human diseases are mostly achieved through decision support
systems. The performance of these systems is mainly dependent on the selection of the most …

NE-nu-SVC: a new nested ensemble clinical decision support system for effective diagnosis of coronary artery disease

M Abdar, UR Acharya, N Sarrafzadegan… - Ieee …, 2019 - ieeexplore.ieee.org
Coronary artery disease (CAD) is one of the main causes of cardiac death around the world.
Due to its significant impact on the society, early and accurate detection of CAD is essential …

An efficient system for heart disease prediction using hybrid OFBAT with rule-based fuzzy logic model

GT Reddy, N Khare - Journal of Circuits, Systems and Computers, 2017 - World Scientific
The objective of the work is to predict heart disease using computing techniques like an
oppositional firefly with BAT and rule-based fuzzy logic (RBFL). The system would help the …