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A review of machine learning's role in cardiovascular disease prediction: recent advances and future challenges
Cardiovascular disease is the leading cause of global mortality and responsible for millions
of deaths annually. The mortality rate and overall consequences of cardiac disease can be …
of deaths annually. The mortality rate and overall consequences of cardiac disease can be …
Cardiovascular diseases prediction by machine learning incorporation with deep learning
It is yet unknown what causes cardiovascular disease (CVD), but we do know that it is
associated with a high risk of death, as well as severe morbidity and disability. There is an …
associated with a high risk of death, as well as severe morbidity and disability. There is an …
Early prediction in classification of cardiovascular diseases with machine learning, neuro-fuzzy and statistical methods
Simple Summary Timely and accurate detection of cardiovascular diseases is critical to
reduce the risk of myocardial infarction. This article proposes a methodology using machine …
reduce the risk of myocardial infarction. This article proposes a methodology using machine …
[PDF][PDF] Explainable heart disease prediction using ensemble-quantum machine learning approach
Nowadays, quantum machine learning is attracting great interest in a wide range of fields
due to its potential superior performance and capabilities. The massive increase in …
due to its potential superior performance and capabilities. The massive increase in …
[HTML][HTML] A heart disease prediction model based on feature optimization and smote-Xgboost algorithm
J Yang, J Guan - Information, 2022 - mdpi.com
In today's world, heart disease is the leading cause of death globally. Researchers have
proposed various methods aimed at improving the accuracy and efficiency of the clinical …
proposed various methods aimed at improving the accuracy and efficiency of the clinical …
Heart disease detection using feature extraction and artificial neural networks: A sensor-based approach
This study presents a novel technique for identifying individuals using feature extraction
methods and signal processing approaches. It uses an artificial neural network (ANN) …
methods and signal processing approaches. It uses an artificial neural network (ANN) …
[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 …
Heart attack is one of the primary causes of high death rates throughout the world, due to the …
Empirical exploration of whale optimisation algorithm for heart disease prediction
Heart Diseases have the highest mortality worldwide, necessitating precise predictive
models for early risk assessment. Much existing research has focused on improving model …
models for early risk assessment. Much existing research has focused on improving model …
A smart IoT-enabled heart disease monitoring system using meta-heuristic-based Fuzzy-LSTM model
A continuous heart disease monitoring system is one of the significant applications specified
by the Internet of Things (IoT). This goal might be achieved by combining sophisticated …
by the Internet of Things (IoT). This goal might be achieved by combining sophisticated …
An optimal heart disease prediction using chaos game optimization-based recurrent neural model
Heart disease is the significant reason of increasing death in worldwide. The early prediction
of heart disease is obtained as a challenging role and this prevents severe heart diseases …
of heart disease is obtained as a challenging role and this prevents severe heart diseases …