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Speech-based respiratory diagnostics: A study on COVID-19 detection with machine learning
Gaurav Datkhile
, Pramod H. Kachare
, Sandeep B. Sangle
, Ibrahim Al-Shourbaji
, Abdoh Jabbari
, Raimund Kirner
,
Abdalla Alameen
Computer Sciences
University of Mumbai
Jazan University
University of Hertfordshire
Research output
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Computer Science
Machine Learning
100%
Learning System
100%
Feature Extraction
100%
Feature Selection
100%
COVID-19
100%
Random Forest Classifier
66%
Artificial Neural Network
33%
Machine Learning Algorithm
33%
Random Decision Forest
33%
Support Vector Machine
33%
Decision Tree
33%
Classification Performance
33%
Early Detection
33%
Information Gain
33%
Medicine and Dentistry
Analysis of Variance
100%
COVID-19
100%
Feature Extraction
75%
Respiratory Disease
50%
Friedman Test
25%
Telemedicine
25%
Biochemistry, Genetics and Molecular Biology
Random Forest
100%
Feature Extraction
100%
Decision Tree
33%
Support Vector Machine
33%
Artificial Neural Network
33%
Friedman Test
33%
Agricultural and Biological Sciences
Learning System
100%
Machine Learning
100%
Neural Network
33%
Support Vector Machine
33%
Earth and Planetary Sciences
Machine Learning
100%
Artificial Neural Network
33%
Support Vector Machine
33%