Gradient Boosting Machine and Efficient Combination of Features for Speech-Based Detection of COVID-19

• Published in: IEEE journal of biomedical and health informatics Vol. 26; no. 11; pp. 5364 - 5371
• Main Authors: Dash, Tusar Kanti, Chakraborty, Chinmay, Mahapatra, Satyajit, Panda, Ganapati
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.11.2022; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Asthma; Bioinformatics; Boosting; Coronaviruses; COVID-19; COVID-19 detection; Disease detection; Feature extraction; feature fusion; health informatics; Humans; LightGBM; Noise level; Pandemics; Periodicity; Respiratory diseases; Respiratory system; Speech; speech classification; Speech recognition

In recent times, speech-based automatic disease detection systems have shown several promising results in biomedical and life science applications, especially in the case of respiratory diseases. It provides a quick, cost-effective, reliable, and non-invasive potential alternative detection option f...