Application of Machine Learning Techniques for the Characterization and Early Diagnosis of Respiratory Diseases Such as COVID-19

Application of Machine Learning Techniques for the Characterization and Early Diagnosis of Respiratory Diseases Such as COVID-19

This paper presents a robust methodology for the early and cost-effective diagnosis of COVID-19 based on vocal features and machine learning techniques. The proposed methodology addresses all challenges inherent to the prediction of COVID-19, including those related to feature extraction and selecti...

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Bibliographic Details
Main Authors: Alfonso Jose Lopez Rivero, Carlos Chinchilla Corbacho, Tatiana Romero Arias, Manuel Martin-Merino, Paulo Vaz
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Feature selection
machine learning
acoustic markers
biomechanical markers
COVID-19 diagnosis
COVID-19 prediction
Online Access:https://ieeexplore.ieee.org/document/10737357/

Internet

https://ieeexplore.ieee.org/document/10737357/

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