A Machine Learning Strategy to Detect COVID-19 by Inspecting the Statistical Significance of Standard Deviation of Sound Samples of Healthy, Covid and Post Covid Conditions-Reference-Cited by-同舟云学术

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A Machine Learning Strategy to Detect COVID-19 by Inspecting the Statistical Significance of Standard Deviation of Sound Samples of Healthy, Covid and Post Covid Conditions

Published:2023-11-16 Issue: Volume:138 Page:1-6
ISSN:
Container-title:2023 Annual International Conference on Emerging Research Areas: International Conference on Intelligent Systems (AICERA/ICIS)
language:
Short-container-title:

Author:

P Arun¹,S Madhukumar¹,P Careena²,P. R Sreesh¹,M Anto¹

Affiliation:

1. Department of Electronics and Communication Engineering, St. Joseph's College of Engineering and Technology,Palai,India

2. Department of Electronics and Communication Engineering, Amal Jyothi College of Engineering,Kanjirapally,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10419864/10419874/10420233.pdf?arnumber=10420233

Reference14 articles.

1. Non-intrusive detection and characterisation of bearing faults from the temporal features of vibration

2. COVID-19 Artificial Intelligence Diagnosis Using Only Cough Recordings

3. Detection of Covid-19 Through the Analysis of Vocal Fold Oscillations

4. An intelligent healthcare system for detection and classification to discriminate vocal fold disorders

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