A Comparative Study of Machine Learning classifiers to analyze the precision of Myocardial Infarction prediction-Reference-Cited by-同舟云学术

A Comparative Study of Machine Learning classifiers to analyze the precision of Myocardial Infarction prediction

Published:2023-03-08 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 13th Annual Computing and Communication Workshop and Conference (CCWC)
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Author:

Khan Razib Hayat¹,Miah Jonayet²,Abed Nipun Shah Ashisul³,Islam Majharul³

Affiliation:

1. Independent University Bangladesh,Department of Computer Science Engineering,Dhaka,Bangladesh

2. University of South Dakota,Department of Computer Science,South Dakota,USA

3. North South University,Department of Electrical and Computer Engineering (ECE),Dhaka,Bangladesh

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10099037/10098906/10099059.pdf?arnumber=10099059

Reference17 articles.

1. Logistic regression in data analysis: an overview

2. Receiver Operating Characteristic Curve in Diagnostic Test Assessment

3. Data Analysis on Myocardial Infarction with the help of Machine Learning Algorithms considering Distinctive or Non-Distinctive Features

4. An Empirical Study to Predict Myocardial Infarction Using K-Means and Hierarchical Clustering;al faisal;Proceeding of the International Conference on Machine Learning Image Processing Network Security and Data Sciences,2020

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