Comparative Study of Decision Tree, AdaBoost, Random Forest, Naïve Bayes, KNN, and Perceptron for Heart Disease Prediction-Reference-Cited by-同舟云学术

Comparative Study of Decision Tree, AdaBoost, Random Forest, Naïve Bayes, KNN, and Perceptron for Heart Disease Prediction

Published:2023-04-01 Issue: Volume: Page:
ISSN:
Container-title:SoutheastCon 2023
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Author:

Maydanchi Mohammad¹,Ziaei Armin²,Basiri Mina³,Azad Alireza Norouzi⁴,Pouya Shaheen¹,Ziaei Mehrbod⁵,Haji Fatemeh⁶,Sargolzaei Saman⁷

Affiliation:

1. Auburn University,Department of Industrial and Systems Engineering,AL,USA

2. The University of Texas at Dallas,Department of Engineering and Computer Science,TX,USA

3. Tarbiat Modares University,Department of Industrial and Systems Engineering,Tehran,Iran

4. University of Tehran,Department of Engineering Science,Tehran,Iran

5. University of Science and Culture,Department of Electrical Engineering,Tehran,Iran

6. Ferdowsi University of Mashhad,Department of Computer Engineering,Mashhad,Iran

7. The University of Tennessee at Martin,Department of Engineering,TN,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10115054/10114957/10115189.pdf?arnumber=10115189

Reference42 articles.

1. A Reliable and Sustainable Design of Supply Chain in Healthcare Under uncertainty Regarding Environmental Impacts;eslamipoor;Journal of Applied Research on Industrial Engineering,2022

2. Applying Machine Learning Methods in Diagnosing Heart Disease for Diabetic Patients

3. Trends in mortality related to pulmonary embolism in the European Region, 2000–15: analysis of vital registration data from the WHO Mortality Database

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