Hybrid Method for Evaluating Feature Importance for Predicting Chronic Heart Diseases-Reference-Cited by-同舟云学术

Hybrid Method for Evaluating Feature Importance for Predicting Chronic Heart Diseases

Published:2022-09-28 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Information Science and Communications Technologies (ICISCT)
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Author:

Nasimov Rashid¹,Nasimova Nigorakhon²,Muminov Bakhodir²

Affiliation:

1. Tashkent State University of Economics,Digital Economy and Information Technologies,Tashkent,Uzbekistan

2. Tashkent University of Information Technologies,Software of Information Technologies,Tashkent,Uzbekistan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10146608/10146733/10146969.pdf?arnumber=10146969

Reference18 articles.

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2. Heart disease health indicators dataset;teboul;Version 3,2021

3. Development of the Method, Algorithm and Software of a Modern Non-invasive Biopotential Meter System;djumanov;Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),2020

4. Age-dependent associations of body mass index with myocardial infarction, heart failure, and mortality in over 9 million Koreans

5. A Feature-Scaling-Based $k$ -Nearest Neighbor Algorithm for Indoor Positioning Systems

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