Amanote Research

Amanote Research

    RegisterSign In

Identification of Coronary Artery Disease Risk Using Data Mining Techniques

Uluslararası Muhendislik Arastirma ve Gelistirme Dergisi
doi 10.29137/umagd.419663
Full Text
Open PDF
Abstract

Available in full text

Date

January 29, 2018

Authors
Şeyma CİHANBergen KARABULUTGüvenç ARSLANGökhan CİHAN
Publisher

Uluslararasi Muhendislik Arastirma ve Gelistirme Dergisi


Related search

Prediction of Coronary Artery Disease Using Text Mining

International Journal of Trend in Scientific Research and Development
2018English

A Model for Coronary Heart Disease Prediction Using Data Mining Classification Techniques

Asian Journal of Research in Computer Science
2019English

Early Heart Disease Prediction Using Data Mining Techniques

2014English

Classification of Skin Disease Using Ensemble Data Mining Techniques

Asian Pacific Journal of Cancer Prevention
2019English

Detection of Cardiac Disease Using Data Mining Classification Techniques

International Journal of Advanced Computer Science and Applications
Computer Science
2017English

Prognosis of Heart Disease Using Data Mining Techniques: A Comprehensive Survey

International Journal of Computer Applications
2018English

Chlamydia and Risk of Coronary Artery Disease

Infection Control and Hospital Epidemiology
EpidemiologyInfectious DiseasesMicrobiology
1998English

Rainfall Prediction Using Data Mining Techniques

International Journal of Computer Applications
2013English

Using Data Mining Techniques to Predict Students at Risk of Poor Performance

2016English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy