Machine learning-based heart disease diagnosis: A systematic literature review
MM Ahsan, Z Siddique - Artificial Intelligence in Medicine, 2022 - Elsevier
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 …
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] 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 …
Heart diseases prediction using machine learning
The medical field relies heavily on data analysis to accurately diagnose diseases. To
achieve this, various research methods must be filtered and appropriate equipment used …
achieve this, various research methods must be filtered and appropriate equipment used …
[Retracted] Clinical Data Analysis for Prediction of Cardiovascular Disease Using Machine Learning Techniques
Cardiovascular disease is difficult to detect due to several risk factors, including high blood
pressure, cholesterol, and an abnormal pulse rate. Accurate decision‐making and optimal …
pressure, cholesterol, and an abnormal pulse rate. Accurate decision‐making and optimal …
[HTML][HTML] Binary starling murmuration optimizer algorithm to select effective features from medical data
Feature selection is an NP-hard problem to remove irrelevant and redundant features with
no predictive information to increase the performance of machine learning algorithms. Many …
no predictive information to increase the performance of machine learning algorithms. Many …
Coronary Heart Disease Prediction and Classification using Hybrid Machine Learning Algorithms
Nowadays, digitalization in the healthcare organizations places great emphasis on
technological advances in clinical healthcare providers. Traditional methods for measuring …
technological advances in clinical healthcare providers. Traditional methods for measuring …