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Machine learning-based heart disease diagnosis: A systematic literature review
Heart disease is one of the significant challenges in today's world and one of the leading
causes of many deaths worldwide. Recent advancement of machine learning (ML) …
causes of many deaths worldwide. Recent advancement of machine learning (ML) …
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 …
Effective heart disease prediction using machine learning techniques
The diagnosis and prognosis of cardiovascular disease are crucial medical tasks to ensure
correct classification, which helps cardiologists provide proper treatment to the patient …
correct classification, which helps cardiologists provide proper treatment to the patient …
Improving the prediction of heart failure patients' survival using SMOTE and effective data mining techniques
Cardiovascular disease is a substantial cause of mortality and morbidity in the world. In
clinical data analytics, it is a great challenge to predict heart disease survivor. Data mining …
clinical data analytics, it is a great challenge to predict heart disease survivor. Data mining …
[HTML][HTML] A classification and regression tree algorithm for heart disease modeling and prediction
Heart disease remains the leading cause of death, such that nearly one-third of all deaths
worldwide are estimated to be caused by heart-related conditions. Advancing applications of …
worldwide are estimated to be caused by heart-related conditions. Advancing applications of …
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 performance analysis of dimensionality reduction algorithms in machine learning models for cancer prediction
Developments in technology facilitate the use of machine learning methods in medical
fields. In cancer research, the combination of machine learning tools and gene expression …
fields. In cancer research, the combination of machine learning tools and gene expression …
Heart disease prediction using machine learning
A Srivastava, A kumar Singh - 2022 2nd International …, 2022 - ieeexplore.ieee.org
According to a recent WHO study, cardiovascular diseases are on the rise. As a result of
which we can see that people dies in a year is approx. 17.9 million. With the growing …
which we can see that people dies in a year is approx. 17.9 million. With the growing …
Enhancing heart disease prediction through ensemble learning techniques with hyperparameter optimization
Heart disease is a significant global health issue, contributing to high morbidity and mortality
rates. Early and accurate heart disease prediction is crucial for effectively preventing and …
rates. Early and accurate heart disease prediction is crucial for effectively preventing and …
Enhancing heart disease prediction using a self-attention-based transformer model
Cardiovascular diseases (CVDs) continue to be the leading cause of more than 17 million
mortalities worldwide. The early detection of heart failure with high accuracy is crucial for …
mortalities worldwide. The early detection of heart failure with high accuracy is crucial for …