Which Features Are Useful in Machine Learning-Based COVID-19 Prognostication? A Meta-Analysis-Reference-Cited by-同舟云学术

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Which Features Are Useful in Machine Learning-Based COVID-19 Prognostication? A Meta-Analysis

Published:2023-06-26 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 11th International Conference on Healthcare Informatics (ICHI)
language:
Short-container-title:

Author:

Mahmud Minhaz¹,Hasan Md Rakibul²,Najjar Reabal³,Hossain Md Zakir²

Affiliation:

1. Bangladesh Army International University of Science & Technology,Department of Electrical and Electronic Engineering,Cumilla,Bangladesh

2. Curtin University,Optus Centre for Artificial Intelligence,Perth,Australia

3. National University,School of Computing Australian,Canberra,Australia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10336927/10336922/10337171.pdf?arnumber=10337171

Reference18 articles.

1. Design and development of a web-based registry for Coronavirus (COVID-19) disease

2. Radiological findings from 81 patients with COVID-19 pneumonia in Wuhan, China: a descriptive study

3. Coronavirus pandemic (covid-19);Mathieu,2020

4. A robust feature selection system with Colin's CCA network

5. Alternatives to p value: Confidence interval and effect size;Kyu;kja,2016

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