[PDF][PDF] Analysis of WEKA data mining algorithms Bayes net, random forest, MLP and SMO for heart disease prediction system: A case study in Iraq

RRK Al-Taie, BJ Saleh, AYF Saedi… - … Journal of Electrical …, 2021 - pdfs.semanticscholar.org
Data mining is defined as a search through large amounts of data for valuable information.
The association rules, grouping, clustering, prediction, sequence modeling is some …

Analysis of Weka data mining techniques for heart disease prediction system

B Saleh, A Saedi, A Al-Aqbi, L Salman - International journal of …, 2020 - ijmedrev.com
Data mining is characterized as searching for useful information through very large data
sets. Some of the key and most common techniques for data mining are association rules …

[PDF][PDF] Analyzing predictive algorithms in data mining for cardiovascular disease using WEKA tool

RS Chhillar - International Journal of Advanced …, 2021 - pdfs.semanticscholar.org
Cardiovascular Disease (CVD) is the foremost cause of death worldwide that generates a
high percentage of Electronic Health Records (EHRs). Analyzing these complex patterns …

[PDF][PDF] Performances analysis of heart disease dataset using different data mining classifications

W Zunaidi, RR Saedudin, ZA Shah, S Kasim… - … Journal on Advanced …, 2018 - academia.edu
nowadays, heart disease is one of the major diseases that cause death. It is a matter for us
to concern in today's highly chaotic life style that leads to various diseases. Early prediction …

[PDF][PDF] A comprehensive study of machine learning for predicting cardiovascular disease using Weka and SPSS tools

B Abuhaija, A Alloubani, M Almatari… - International Journal of …, 2023 - academia.edu
Artificial intelligence (AI) is simulating human intelligence processes by machines and
software simulators to help humans in making accurate, informed, and fast decisions based …

[PDF][PDF] Comparative Analysis of Data Mining Techniques to Predict Cardiovascular Disease

AM Nayim, F Alam, M Rasel… - Int. J. Inf. Technol. Comput …, 2022 - scholar.archive.org
Cardiovascular disease is the leading cause of death. In recent days, most people are living
with cardiovascular disease because of their unhealthy lifestyle and the most alarming issue …

Comparative analysis of data mining classification techniques for prediction of heart disease using the Weka and SPSS modeler tools

AK Ramotra, A Mahajan, R Kumar… - Smart Trends in Computing …, 2020 - Springer
The healthcare sector generates enormous data related to electronic medical records
containing detailed reports, test, and medications. Research in the field of health care is …

[PDF][PDF] Comparative study of data mining approaches for prediction heart diseases

S Hari Ganesh, M Gajenthiran - IOSR Journal of Engineering, 2014 - academia.edu
Data mining is the process of finding useful and relevant information from the databases.
There are several types of data mining techniques are available. Association Rule …

[PDF][PDF] Comparative analysis of classification function techniques for heart disease prediction

S Vijayarani, S Sudha - … of Innovative Research in Computer and …, 2013 - researchgate.net
The data mining can be referred as discovery of relationships in large databases
automatically and in some cases it is used for predicting relationships based on the results …

[PDF][PDF] Data Mining Classification Algorithms for Heart Disease Prediction

M Mirmozaffari, A Alinezhad… - Int'l Journal of Computing …, 2017 - academia.edu
Annually 17.3 million people approximately die from heart disease worldwide. A heart
patient shows various symptoms and it is hard to attribute them to the heart disease in …