[PDF][PDF] Using machine learning algorithms in cardiovascular disease risk evaluation
Even if Medicine and Computer Science seem apparently intangible domains, they
collaborate each other for few decades. One of the faces of this cooperation is Data Mining …
collaborate each other for few decades. One of the faces of this cooperation is Data Mining …
[PDF][PDF] An overview of data mining techniques applied for heart disease diagnosis and prediction
SM Alzahani, A Althopity, A Alghamdi… - Lecture Notes on …, 2014 - academia.edu
Data mining techniques have been applied magnificently in many fields including business,
science, the Web, cheminformatics, bioinformatics, and on different types of data such as …
science, the Web, cheminformatics, bioinformatics, and on different types of data such as …
[PDF][PDF] Cardiovascular disease prediction using classification algorithms of machine learning
YJ Chauhan - International Journal of Science and Research, 2020 - academia.edu
Cardiovascular disease is a major health burden worldwide in the 21st century. Human
services consumptions are overpowering national and corporate spending plans because of …
services consumptions are overpowering national and corporate spending plans because of …
Current trends in the use of machine learning for diagnostics and/or risk stratification in cardiovascular disease
P Maurovich-Horvat - 2021 - academic.oup.com
Artificial intelligence (AI) is being increasingly utilized in every aspects of our daily life.
Machine-learning (ML) algorithms silently became an integral part of decision-making …
Machine-learning (ML) algorithms silently became an integral part of decision-making …
A Review of Machine Learning's Role in Cardiovascular Disease Prediction: Recent Advances and Future Challenges
Cardiovascular disease is the leading cause of global mortality and responsible for millions
of deaths annually. The mortality rate and overall consequences of cardiac disease can be …
of deaths annually. The mortality rate and overall consequences of cardiac disease can be …
Application of machine learning for cardiovascular disease risk prediction
Cardiovascular diseases (CVDs) are a common cause of heart failure globally. The need to
explore possible ways to tackle the disease necessitated this study. The study designed a …
explore possible ways to tackle the disease necessitated this study. The study designed a …
Artificial intelligence and data mining methods for cardiovascular risk prediction
This chapter describes the state-of-the-art in artificial intelligence and machine learning
methods for cardiovascular disease diagnosis and prognosis, focusing on Coronary Artery …
methods for cardiovascular disease diagnosis and prognosis, focusing on Coronary Artery …
[PDF][PDF] A machine learning approach: Using predictive analytics to identify and analyze high risks patients with heart disease
F Khennou, C Fahim, H Chaoui… - International Journal of …, 2019 - academia.edu
The risk of developing early heart disease is always prominent. In fact, according to the
Central of Disease Control and Prevention (CDC), Cardiovascular disease accounts for …
Central of Disease Control and Prevention (CDC), Cardiovascular disease accounts for …
How artificial intelligence tools can be used to assess individual patient risk in cardiovascular disease: problems with the current methods
E Grossi - BMC cardiovascular Disorders, 2006 - Springer
Background In recent years a number of algorithms for cardiovascular risk assessment has
been proposed to the medical community. These algorithms consider a number of variables …
been proposed to the medical community. These algorithms consider a number of variables …
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 …