Deep learning and machine learning-based voice analysis for the detection of COVID-19: A proposal and comparison of architectures.

Costantini, Giovanni; Dr, Valerio Cesarini; Robotti, Carlo; Benazzo, Marco; Pietrantonio, Filomena; Di Girolamo, Stefano; Pisani, Antonio; Canzi, Pietro; Mauramati, Simone; Bertino, Giulia; Cassaniti, Irene; Baldanti, Fausto; Saggio, Giovanni

Costantini, Giovanni; Dr, Valerio Cesarini; Robotti, Carlo; Benazzo, Marco; Pietrantonio, Filomena; Di Girolamo, Stefano; Pisani, Antonio; Canzi, Pietro; Mauramati, Simone; Bertino, Giulia; Cassaniti, Irene; Baldanti, Fausto; Saggio, Giovanni.

Afiliação

Costantini G; Department of Electronic Engineering, University of Rome Tor Vergata, Rome, Italy.
Dr VC; Department of Electronic Engineering, University of Rome Tor Vergata, Rome, Italy.
Robotti C; Department of Otolaryngology - Head and Neck Surgery, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy.
Benazzo M; Department of Clinical, Surgical, Diagnostic and Pediatric Sciences, University of Pavia, Pavia, Italy.
Pietrantonio F; Department of Otolaryngology - Head and Neck Surgery, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy.
Di Girolamo S; Department of Clinical, Surgical, Diagnostic and Pediatric Sciences, University of Pavia, Pavia, Italy.
Pisani A; Internal Medicine Unit, Ospedale dei Castelli ASL Roma 6, Ariccia, Italy.
Canzi P; Department of Otorhinolaryngology, University of Rome Tor Vergata, Rome, Italy.
Mauramati S; Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy.
Bertino G; IRCCS Mondino Foundation, Pavia, Italy.
Cassaniti I; Department of Otolaryngology - Head and Neck Surgery, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy.
Baldanti F; Department of Otolaryngology - Head and Neck Surgery, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy.
Saggio G; Department of Otolaryngology - Head and Neck Surgery, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy.

Knowl Based Syst ; 253: 109539, 2022 Oct 11.

Article em En | MEDLINE | ID: mdl-35915642

Palavras-chave

1E, Vowel /e/ vocal task; 2S, Sentence vocal task; 3C, Cough vocal task; Adaboost; CFS, Correlation-based Feature Selection; CNN, Convolutional Neural Network; COVID-19; Classification; DL, Deep Learning; Deep learning; H, Healthy control subjects; MFCC, Mel-frequency Cepstral Coefficients; ML, Machine Learning; NS, Nasal Swab; P, Positive subjects; PCR, Polymerase Chain Reaction-based molecular swabs; PvsH, Positive versus Healthy subjects comparison; R, Recovered subjects; RF, Random Forest; ROC, Receiver-Operating Curve; ReLu, Rectified Linear Unit; RvsH, Recovered versus Healthy subjects comparison; SVM, Support Vector Machine; Speech processing

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Texto completo: 1 Bases de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Revista: Knowl Based Syst Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Itália

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