Feature selection techniques in the context of big data: taxonomy and analysis
HM Abdulwahab, S Ajitha, MAN Saif - Applied Intelligence, 2022 - Springer
Abstract Recent advancements in Information Technology (IT) have engendered the rapid
production of big data, as enormous volumes of data with high dimensional features grow …
production of big data, as enormous volumes of data with high dimensional features grow …
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 …
Machine learning-based identification of patients with a cardiovascular defect
N Louridi, S Douzi, B El Ouahidi - Journal of Big Data, 2021 - Springer
Cardiovascular diseases had been for a long time one of the essential medical problems. As
indicated by the World Health Association, heart ailments are at the highest point of ten …
indicated by the World Health Association, heart ailments are at the highest point of ten …
[PDF][PDF] Comparative analysis and prediction of coronary heart disease
Cardiovascular disease (CVD) is now one of the leading causes of death worldwide and
was also thought to be a serious illness in the mid and old ages. Artificial intelligence and …
was also thought to be a serious illness in the mid and old ages. Artificial intelligence and …
A new Covid-19 diagnosis strategy using a modified KNN classifier
Covid-19 is a very dangerous disease as a result of the rapid and unprecedented spread of
any previous disease. It is truly a crisis that threatens the world since its first appearance in …
any previous disease. It is truly a crisis that threatens the world since its first appearance in …
Detecting diseases in medical prescriptions using data mining methods
S Nazari Nezhad, MH Zahedi, E Farahani - BioData Mining, 2022 - Springer
Every year, the health of millions of people around the world is compromised by
misdiagnosis, which sometimes could even lead to death. In addition, it entails huge …
misdiagnosis, which sometimes could even lead to death. In addition, it entails huge …
Cluster analysis of US COVID-19 infected states for vaccine distribution
Since December 2019, COVID-19 has been raging worldwide. To prevent the spread of
COVID-19 infection, many countries have proposed epidemic prevention policies and …
COVID-19 infection, many countries have proposed epidemic prevention policies and …
Classification and action rules in identification and self-care assessment problems
M Zdrodowska… - Technology and Health …, 2022 - content.iospress.com
BACKGROUND: Disability, especially in children, is a very important and current problem.
Lack of proper diagnosis and care increases the difficulty for children to adapt to disabilities …
Lack of proper diagnosis and care increases the difficulty for children to adapt to disabilities …
An Improved Deep Learning Approach for Heart Attack Detection from Digital Images
The mortality rate due to different diseases is alarmingly rising day by day across the world.
The major reason for this death rate includes heart-related problems occurring due to age …
The major reason for this death rate includes heart-related problems occurring due to age …
Exploring the use of association rules in random forest for predicting heart disease
Heart disease is one of the most dangerous diseases in the world. People with these
diseases, most of them end up losing their lives. Therefore, machine learning algorithms …
diseases, most of them end up losing their lives. Therefore, machine learning algorithms …