[PDF][PDF] Using machine learning algorithms in cardiovascular disease risk evaluation

A Sitar-Tăut, D Zdrenghea, D Pop, D Sitar-Tăut - Age, 2009 - researchgate.net
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 …

[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 …

[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 …

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 …

A Review of Machine Learning's Role in Cardiovascular Disease Prediction: Recent Advances and Future Challenges

MA Naser, AA Majeed, M Alsabah, TR Al-Shaikhli… - Algorithms, 2024 - mdpi.com
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 …

Application of machine learning for cardiovascular disease risk prediction

S Dalal, P Goel, EM Onyema, A Alharbi… - Computational …, 2023 - Wiley Online Library
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 …

Artificial intelligence and data mining methods for cardiovascular risk prediction

EI Georga, NS Tachos, AI Sakellarios, VI Kigka… - … and clinical applications, 2019 - Springer
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 …

[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 …

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 …

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 …