Machine learning and deep learning techniques for the analysis of heart disease: a systematic literature review, open challenges and future directions
Myocardial infarction, commonly known as heart attack, is one of the most common heart
diseases prevailing in the human world. Heart or cardiac disease is one of the leading …
diseases prevailing in the human world. Heart or cardiac disease is one of the leading …
Fuzzy logic and hybrid based approaches for the risk of heart disease detection: state-of-the-art review
J Kaur, BS Khehra - Journal of The Institution of Engineers (India): Series B, 2022 - Springer
Abstract Artificial Intelligence, Machine Learning, Fuzzy Logic, Neural Network, Genetic
Algorithm and their hybrid systems play vital role in the medical sciences to diagnose …
Algorithm and their hybrid systems play vital role in the medical sciences to diagnose …
An effective heart disease detection and severity level classification model using machine learning and hyperparameter optimization methods
Cardiovascular disease (CVD) is the leading cause of death worldwide. A Machine Learning
(ML) system can predict CVD in the early stages to mitigate mortality rates based on clinical …
(ML) system can predict CVD in the early stages to mitigate mortality rates based on clinical …
Accurate detection of Covid-19 patients based on Feature Correlated Naïve Bayes (FCNB) classification strategy
The outbreak of Coronavirus (COVID-19) has spread between people around the world at a
rapid rate so that the number of infected people and deaths is increasing quickly every day …
rapid rate so that the number of infected people and deaths is increasing quickly every day …
Nature-inspired metaheuristics model for gene selection and classification of biomedical microarray data
RM Aziz - Medical & Biological Engineering & Computing, 2022 - Springer
Identifying a small subset of informative genes from a gene expression dataset is an
important process for sample classification in the fields of bioinformatics and machine …
important process for sample classification in the fields of bioinformatics and machine …
Meet ML. NET
S Mukherjee, S Mukherjee - ML. NET Revealed: Simple Tools for Applying …, 2021 - Springer
Abstract Machine learning is nothing but a means of enabling the computer to have a
sophisticated sense of proximity between several things. Let me elaborate that point for you …
sophisticated sense of proximity between several things. Let me elaborate that point for you …
Effective heart disease prediction using improved particle swarm optimization algorithm and ensemble classification technique
NV MahaLakshmi, RK Rout - Soft Computing, 2023 - search.proquest.com
In recent times, heart disease has been the significant cause of mortality worldwide, where
cardiovascular disease prediction is a challenging task in clinical data valuation. Notably …
cardiovascular disease prediction is a challenging task in clinical data valuation. Notably …
Improving the heart disease detection and patients' survival using supervised infinite feature selection and improved weighted random forest
Heart disease is the leading cause of death worldwide. A Machine Learning (ML) system
can detect heart disease in the early stages to mitigate mortality rates based on clinical data …
can detect heart disease in the early stages to mitigate mortality rates based on clinical data …
Smart cardiac framework for an early detection of cardiac arrest condition and risk
Cardiovascular disease (CVD) is considered to be one of the most epidemic diseases in the
world today. Predicting CVDs, such as cardiac arrest, is a difficult task in the area of …
world today. Predicting CVDs, such as cardiac arrest, is a difficult task in the area of …
C-CADZ: computational intelligence system for coronary artery disease detection using Z-Alizadeh Sani dataset
Coronary artery disease (CAD) is one of the most lethal diseases which is major cause of
deaths around the globe. CAD is among such diseases with mortality rate approximately 7 …
deaths around the globe. CAD is among such diseases with mortality rate approximately 7 …