A systematic review on machine learning approaches for cardiovascular disease prediction using medical big data
There is a considerable rise in cardiovascular diseases in the world. It is pertinently
essential to make cardiovascular prediction accurate to the maximum. A forecast based on …
essential to make cardiovascular prediction accurate to the maximum. A forecast based on …
[PDF][PDF] A comprehensive review on heart disease prediction using data mining and machine learning techniques
Heart disease is one of the major causes of life complicacies and subsequently leading to
death. The heart disease diagnosis and treatment are very complex, especially in the …
death. The heart disease diagnosis and treatment are very complex, especially in the …
[HTML][HTML] An artificial intelligence model for heart disease detection using machine learning algorithms
The paper focuses on the construction of an artificial intelligence-based heart disease
detection system using machine learning algorithms. We show how machine learning can …
detection system using machine learning algorithms. We show how machine learning can …
A decision support system for heart disease prediction based upon machine learning
Detection of heart disease through early-stage symptoms is a great challenge in the current
world scenario. If not diagnosed timely then this may become the cause of death. In …
world scenario. If not diagnosed timely then this may become the cause of death. In …
A method for improving prediction of human heart disease using machine learning algorithms
A great diversity comes in the field of medical sciences because of computing capabilities
and improvements in techniques, especially in the identification of human heart diseases …
and improvements in techniques, especially in the identification of human heart diseases …
[HTML][HTML] A comparative study of classification and prediction of Cardio-Vascular Diseases (CVD) using Machine Learning and Deep Learning techniques
M Swathy, K Saruladha - ICT express, 2022 - Elsevier
Abstract Cardio-Vascular Diseases (CVD) are found to be rampant in the populace leading
to fatal death. The statistics of a recent survey reports that the mortality rate is expanding due …
to fatal death. The statistics of a recent survey reports that the mortality rate is expanding due …
Empirical analysis of machine learning algorithms on imbalance electrocardiogram based arrhythmia dataset for heart disease detection
Living beings are subjected to many hazards during their course of life. Owing to high
mortality rate, heart disease (HD) is among leading hazards for living being. It is world's one …
mortality rate, heart disease (HD) is among leading hazards for living being. It is world's one …
A hybrid model for heart disease prediction using recurrent neural network and long short term memory
GS Bhavekar, AD Goswami - International Journal of Information …, 2022 - Springer
Cardiac and cardiovascular diseases are among the most prevalent and dangerous
ailments that influence human health. The detection of cardiac disease in its early stages by …
ailments that influence human health. The detection of cardiac disease in its early stages by …
[HTML][HTML] An accurate fuzzy rule-based classification systems for heart disease diagnosis
Physicians and healthcare providers need to better understand the thought processes and
methods used in clinical decision-making. This allows physicians to diagnose and detect …
methods used in clinical decision-making. This allows physicians to diagnose and detect …
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 …