Heart disease identification method using machine learning classification in e-healthcare
Heart disease is one of the complex diseases and globally many people suffered from this
disease. On time and efficient identification of heart disease plays a key role in healthcare …
disease. On time and efficient identification of heart disease plays a key role in healthcare …
Efficient medical diagnosis of human heart diseases using machine learning techniques with and without GridSearchCV
GN Ahmad, H Fatima, S Ullah, AS Saidi - IEEE Access, 2022 - ieeexplore.ieee.org
Predicting cardiac disease is considered one of the most challenging tasks in the medical
field. It takes a lot of time and effort to figure out what's causing this, especially for doctors …
field. It takes a lot of time and effort to figure out what's causing this, especially for doctors …
Machine learning techniques for heart disease prediction: a comparative study and analysis
R Katarya, SK Meena - Health and Technology, 2021 - Springer
Nowadays, people are getting caught in their day-to-day lives doing their work and other
things and ignoring their health. Due to this hectic life and ignorance towards their health …
things and ignoring their health. Due to this hectic life and ignorance towards their health …
Heart disease risk prediction using machine learning classifiers with attribute evaluators
Cardiovascular diseases (CVDs) kill about 20.5 million people every year. Early prediction
can help people to change their lifestyles and to ensure proper medical treatment if …
can help people to change their lifestyles and to ensure proper medical treatment if …
Modified Self-Adaptive Bayesian algorithm for smart heart disease prediction in IoT system
Heart disease (HD) has surpassed all other causes of death in recent years. Estimating
one's risk of developing heart disease is difficult, since it takes both specialized knowledge …
one's risk of developing heart disease is difficult, since it takes both specialized knowledge …
Performance evaluation of machine learning techniques (MLT) for heart disease prediction
The leading cause of death worldwide today is heart disease (HD). The heart is recognised
as the second‐most significant organ behind the brain. A successful outcome of treatment …
as the second‐most significant organ behind the brain. A successful outcome of treatment …
A Comprehensive Review on Heart Disease Risk Prediction using Machine Learning and Deep Learning Algorithms
VVR Karna, VR Karna, V Janamala… - … Methods in Engineering, 2024 - Springer
Cardiovascular diseases claim approximately 17.9 million lives annually, with heart attacks
and strokes accounting for over 80% of these deaths. Key risk factors, including …
and strokes accounting for over 80% of these deaths. Key risk factors, including …
Heart disease risk prediction using machine learning with principal component analysis
Cardiovascular diseases (CVDs) are killing about 17.9 million people every year. Early
prediction can help people to change their lifestyles and to endure proper medical treatment …
prediction can help people to change their lifestyles and to endure proper medical treatment …
A comprehensive analysis of deep learning techniques for effective heart disease prediction
Life style disorders like diabetes, cardio vascular diseases (CVD) etc. are spreading like an
epidemic to a pandemic. Heart disease (HD) besides other health consequences has …
epidemic to a pandemic. Heart disease (HD) besides other health consequences has …
Multiclass Classification in Machine Learning Algorithms for Disease Prediction
This paper proposes multiclass classification using different symptoms of patients into 40
different classes. This paper also represents the comparative study of the performance of …
different classes. This paper also represents the comparative study of the performance of …