Chi-Square and Cuckoo Search Based Feature Selection for Heart Disease Prediction-Reference-Cited by-同舟云学术

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Chi-Square and Cuckoo Search Based Feature Selection for Heart Disease Prediction

Published:2024-04-02 Issue: Volume:28 Page:1-6
ISSN:
Container-title:2024 International Conference on Science, Engineering and Business for Driving Sustainable Development Goals (SEB4SDG)
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Author:

Elizabeth Bolanle Adejumo¹,Muhammad Usman Ali¹,Hussein Ahmad MohdAziz²,Ossai Ebinum Wallace¹,Maigari Timothy Umar¹,Usman Abdullahi Ali¹,Ibrahim Jalo Abubakar³,Joda Usman Mohammed⁴,Philips Jacob¹,Dawaki Muhammad⁵

Affiliation:

1. Federal College of Education (Technical),Department of Computer Sciences,Gombe,Nigeria

2. Umm Al-Qura University,Deanship of E-Learning and Distance Education,Makkah,Saudi Arabia,21955

3. Kaduna Polytechnic,College of Engineering,Department of Computer Engineering,Kaduna,Nigeria

4. Bayero University,Faculty of Computer Science and Information Technology,Kano,Nigeria

5. Gombe State University,Department of Computer Sciences,Gombe,Nigeria

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10629651/10629654/10630086.pdf?arnumber=10630086

Reference28 articles.

1. World Health Organization Cardiovascular Disease,2020

2. Heart Disease and Stroke Statistics—2018 Update: A Report From the American Heart Association

3. A Hybrid Data Mining Model to Predict Coronary Artery Disease Cases Using Non-Invasive Clinical Data

4. Optimal feature selection using a modified differential evolution algorithm and its effectiveness for prediction of heart disease

5. Toward integrating feature selection algorithms for classification and clustering

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