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Diagnosis of COVID-19 and non-COVID-19 patients by classifying only a single cough sound

https://doi.org/10.1007/s00521-021-06346-3
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1001/jama.2020.1585openalex-snapshot
Clinical Characteristics of 138 Hospitalized Patients With 2019 Novel Coronavirus–Infected Pneumonia in Wuhan, China
inferredcites →https://doi.org/10.1007/978-0-387-30164-8_469openalex-snapshot
Leave-One-Out Cross-Validation
inferredcites →https://doi.org/10.1007/s00330-021-07715-1openalex-snapshot
A deep learning algorithm using CT images to screen for Corona virus disease (COVID-19)
inferredcites →https://doi.org/10.1007/s10489-020-01862-6openalex-snapshot
COVID-19 open source data sets: a comprehensive survey
inferredcites →https://doi.org/10.1007/s10916-018-1003-9openalex-snapshot
A Survey of Data Mining and Deep Learning in Bioinformatics
inferredcites →https://doi.org/10.1007/s11571-020-09641-2openalex-snapshot
An automatic EEG-based sleep staging system with introducing NAoSP and NAoGP as new metrics for sleep staging systems
inferredcites →https://doi.org/10.1007/s11571-021-09695-wopenalex-snapshot
Identifying COVID-19 by using spectral analysis of cough recordings: a distinctive classification study
inferredcites →https://doi.org/10.1016/j.aej.2020.09.032openalex-snapshot
Low cost Covid-19 preliminary diagnosis utilizing cough samples and keenly intellective deep learning approaches
inferredcites →https://doi.org/10.1016/j.compbiomed.2021.104572openalex-snapshot
COVID-19 cough classification using machine learning and global smartphone recordings
inferredcites →https://doi.org/10.1016/j.imu.2020.100378openalex-snapshot
AI4COVID-19: AI enabled preliminary diagnosis for COVID-19 from cough samples via an app
inferredcites →https://doi.org/10.1017/ice.2020.61openalex-snapshot
Identification of COVID-19 can be quicker through artificial intelligence framework using a mobile phone–based survey when cities and towns are under quarantine
inferredcites →https://doi.org/10.1021/acsnano.0c02624openalex-snapshot
Diagnosing COVID-19: The Disease and Tools for Detection
inferredcites →https://doi.org/10.1038/s41591-020-0820-9openalex-snapshot
The proximal origin of SARS-CoV-2
inferredcites →https://doi.org/10.1038/s41598-020-63777-zopenalex-snapshot
A new non-invasive index for prognosis evaluation in patients with aortic stenosis
inferredcites →https://doi.org/10.1038/s41598-020-76550-zopenalex-snapshot
COVID-Net: a tailored deep convolutional neural network design for detection of COVID-19 cases from chest X-ray images
inferredcites →https://doi.org/10.1101/2020.04.07.20051060openalex-snapshot
The respiratory sound features of COVID-19 patients fill gaps between clinical data and screening methods
inferredcites →https://doi.org/10.1109/access.2020.2992341openalex-snapshot
A Comprehensive Review of the COVID-19 Pandemic and the Role of IoT, Drones, AI, Blockchain, and 5G in Managing its Impact
inferredcites →https://doi.org/10.1109/access.2020.2994762openalex-snapshot
CovidGAN: Data Augmentation Using Auxiliary Classifier GAN for Improved Covid-19 Detection
inferredcites →https://doi.org/10.1109/access.2020.2998117openalex-snapshot
Non-Contact Respiratory Rate Estimation in Real-Time With Modified Joint Unscented Kalman Filter
inferredcites →https://doi.org/10.1109/access.2020.3003810openalex-snapshot
Iteratively Pruned Deep Learning Ensembles for COVID-19 Detection in Chest X-Rays
inferredcites →https://doi.org/10.1109/access.2020.3018028openalex-snapshot
Novel Coronavirus Cough Database: NoCoCoDa
inferredcites →https://doi.org/10.1109/ccci49893.2020.9256700openalex-snapshot
Studying the Similarity of COVID-19 Sounds based on Correlation Analysis of MFCC
inferredcites →https://doi.org/10.1109/embc44109.2020.9175345openalex-snapshot
A Comprehensive Approach for Classification of the Cough Type
inferredcites →https://doi.org/10.1109/ichi.2019.8904554openalex-snapshot
Towards Device-Agnostic Mobile Cough Detection with Convolutional Neural Networks
inferredcites →https://doi.org/10.1109/icpr.1990.118138openalex-snapshot
Small sample size effects in statistical pattern recognition: recommendations for practitioners and open problems
inferredcites →https://doi.org/10.1109/iscas.2006.1692543openalex-snapshot
An efficient MFCC extraction method in speech recognition
inferredcites →https://doi.org/10.1109/iscon47742.2019.9036277openalex-snapshot
Pre-Processing and Classification of Cough Sounds in Noisy Environment using SVM
inferredcites →https://doi.org/10.1109/memea.2011.5966670openalex-snapshot
Feature extraction for the differentiation of dry and wet cough sounds
inferredcites →https://doi.org/10.1109/ojemb.2020.2998051openalex-snapshot
A Framework for Biomarkers of COVID-19 Based on Coordination of Speech-Production Subsystems
inferredcites →https://doi.org/10.1109/proc.1975.9799openalex-snapshot
Digital representations of speech signals
inferredcites →https://doi.org/10.1109/proc.1976.10155openalex-snapshot
Automatic recognition of speakers from their voices
inferredcites →https://doi.org/10.1109/rbme.2020.2987975openalex-snapshot
Review of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation, and Diagnosis for COVID-19
inferredcites →https://doi.org/10.1109/southeastcon45413.2021.9401826openalex-snapshot
Deep-learning Based Approach to Identify Covid-19
inferredcites →https://doi.org/10.1109/tassp.1980.1163420openalex-snapshot
Comparison of parametric representations for monosyllabic word recognition in continuously spoken sentences
inferredcites →https://doi.org/10.1109/tbcas.2016.2598794openalex-snapshot
Deep Neural Networks for Identifying Cough Sounds
inferredcites →https://doi.org/10.1145/3394486.3412865openalex-snapshot
Exploring Automatic Diagnosis of COVID-19 from Crowdsourced Respiratory Sound Data
inferredcites →https://doi.org/10.1145/3412841.3441943openalex-snapshot
Pay attention to the cough
inferredcites →https://doi.org/10.1371/journal.pone.0162128openalex-snapshot
A Cough-Based Algorithm for Automatic Diagnosis of Pertussis
inferredcites →https://doi.org/10.14722/ndss.2015.23241openalex-snapshot
Machine Learning Classification over Encrypted Data
inferredcites →https://doi.org/10.18280/ts.370516openalex-snapshot
Low-Cost Brain-Computer Interface Using the Emotiv Epoc Headset Based on Rotating Vanes
inferredcites →https://doi.org/10.21437/interspeech.2020-2223openalex-snapshot
An Early Study on Intelligent Analysis of Speech Under COVID-19: Severity, Sleep Quality, Fatigue, and Anxiety
inferredcites →https://doi.org/10.21437/interspeech.2020-2768openalex-snapshot
Coswara — A Database of Breathing, Cough, and Voice Sounds for COVID-19 Diagnosis
inferredcites →https://doi.org/10.2196/19273openalex-snapshot
Tracking Social Media Discourse About the COVID-19 Pandemic: Development of a Public Coronavirus Twitter Data Set
inferredcites →https://doi.org/10.23919/eusipco47968.2020.9287659openalex-snapshot
A Universal System for Cough Detection in Domestic Acoustic Environments
inferredcites →https://doi.org/10.3390/app9091956openalex-snapshot
Regularized Urdu Speech Recognition with Semi-Supervised Deep Learning
inferredcites →https://doi.org/10.3390/epidemiologia2030024openalex-snapshot
A Large-Scale COVID-19 Twitter Chatter Dataset for Open Scientific Research—An International Collaboration
inferredcites →https://doi.org/10.48550/arxiv.1901.11210openalex-snapshot
Chester: A Web Delivered Locally Computed Chest X-Ray Disease Prediction System
inferredcites →https://doi.org/10.48550/arxiv.2003.13865openalex-snapshot
COVID-CT-Dataset: A CT Scan Dataset about COVID-19
inferredcites →https://doi.org/10.48550/arxiv.2004.04225openalex-snapshot
Measuring Emotions in the COVID-19 Real World Worry Dataset
inferredcites →https://doi.org/10.59275/j.melba.2020-48g7openalex-snapshot
COVID-19 Image Data Collection: Prospective Predictions are the Future

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4102488openalex-extracted
The Voice of COVID19: Breath and Cough Recording Classification with Temporal Decision Trees and Random Forests
inferred← citeshttps://doi.org/10.2139/ssrn.4127047openalex-extracted
Responding to Challenge Call of Machine Learning Model Development in Diagnosing Respiratory Disease Sounds
inferred← citeshttps://doi.org/10.1002/aisy.202100284openalex-snapshot
Efficient and Explainable Deep Neural Networks for Airway Symptom Detection in Support of Wearable Health Technology
inferred← citeshttps://doi.org/10.1002/lary.31042openalex-snapshot
Cough Sounds in Screening and Diagnostics: A Scoping Review
inferred← citeshttps://doi.org/10.1007/978-3-031-25088-0_68openalex-snapshot
Improved Accuracy in Speech Recognition System for Detection of Covid-19 Using K Nearest Neighbour and Comparing with Artificial Neural Network
inferred← citeshttps://doi.org/10.1007/978-981-95-3312-1_48openalex-snapshot
Cough Sound Recognition based on the PSO-GBDT-LR Model
inferred← citeshttps://doi.org/10.1007/s00521-023-08612-yopenalex-snapshot
Computer-aided methods for combating Covid-19 in prevention, detection, and service provision approaches
inferred← citeshttps://doi.org/10.1007/s00521-024-10421-wopenalex-snapshot
A three-branch deep neural network for diagnosing respiratory sounds
inferred← citeshttps://doi.org/10.1007/s10916-025-02154-7openalex-snapshot
Edge Computing System for Automatic Detection of Chronic Respiratory Diseases Using Audio Analysis
inferred← citeshttps://doi.org/10.1007/s11036-023-02111-zopenalex-snapshot
A Large-Scale IoT-Based Scheme for Real-Time Prediction of Infectious Disease Symptoms
inferred← citeshttps://doi.org/10.1007/s11571-021-09695-wopenalex-snapshot
Identifying COVID-19 by using spectral analysis of cough recordings: a distinctive classification study
inferred← citeshttps://doi.org/10.1016/b978-0-323-85206-7.00012-5openalex-snapshot
Smart technologies for COVID-19 indoor monitoring
inferred← citeshttps://doi.org/10.1016/j.artmed.2022.102486openalex-snapshot
The voice of COVID-19: Breath and cough recording classification with temporal decision trees and random forests
inferred← citeshttps://doi.org/10.1016/j.bspc.2024.106073openalex-snapshot
Croup and pertussis cough sound classification algorithm based on channel attention and multiscale Mel-spectrogram
inferred← citeshttps://doi.org/10.1016/j.bspc.2024.106823openalex-snapshot
UTO-LAB model: USRP based touchless lung anomaly detection model with optimized machine learning classifier
inferred← citeshttps://doi.org/10.1016/j.bspc.2024.106841openalex-snapshot
Lung SoundNet: SUSCC LSTM − A novel approach for automated lung sound diagnosis
inferred← citeshttps://doi.org/10.1016/j.compbiomed.2022.105405openalex-snapshot
Machine learning for detecting COVID-19 from cough sounds: An ensemble-based MCDM method
inferred← citeshttps://doi.org/10.1016/j.dsp.2025.105861openalex-snapshot
SWaRaA: A multi-modal deep learning framework for the diagnosis and classification of respiratory diseases using medical acoustic representations
inferred← citeshttps://doi.org/10.1016/j.eswa.2022.119212openalex-snapshot
Fruit-CoV: An efficient vision-based framework for speedy detection and diagnosis of SARS-CoV-2 infections through recorded cough sounds
inferred← citeshttps://doi.org/10.1016/j.eswa.2024.124311openalex-snapshot
An intelligent risk assessment on prediction of COVID-19 pandemic using DNN and TSA: An empirical case study in Thailand
inferred← citeshttps://doi.org/10.1016/j.eswa.2026.131235openalex-snapshot
Robust COVID-19 detection from cough sounds using deep neural decision tree and forest: A comprehensive cross-datasets evaluation
inferred← citeshttps://doi.org/10.1016/j.imu.2022.101023openalex-snapshot
Risk assessment in COVID-19 patients: A multiclass classification approach
inferred← citeshttps://doi.org/10.1038/s41598-026-68570-yopenalex-snapshot
Minimal-preprocessing paradigm for robust COVID-19 detection from cough audio using deep learning
inferred← citeshttps://doi.org/10.1101/2021.11.12.21266271openalex-snapshot
AI/ML Models to Aid in the Diagnosis of COVID-19 Illness from Forced Cough Vocalizations: Results and Challenges of a Systematic Review of the Relevant Literature
inferred← citeshttps://doi.org/10.1101/2021.11.13.21266289openalex-snapshot
AI/ML Models to Aid in the Diagnosis of COVID-19 Illness from Forced Cough Vocalizations: Good Machine Learning Practice and Good Clinical Practices from Concept to Consumer for AI/ML Software Devices
inferred← citeshttps://doi.org/10.1109/access.2022.3211295openalex-snapshot
Clinically Relevant Sound-Based Features in COVID-19 Identification: Robustness Assessment With a Data-Centric Machine Learning Pipeline
inferred← citeshttps://doi.org/10.1109/access.2022.3223444openalex-snapshot
Mel Frequency Cepstral Coefficient and its Applications: A Review
inferred← citeshttps://doi.org/10.1109/hnicem57413.2022.10109405openalex-snapshot
ANN-Based Classification of Rain Acoustic Sensor Data Using Modified Mel Frequency Cepstral Coefficients
inferred← citeshttps://doi.org/10.1109/icemis56295.2022.9914391openalex-snapshot
A Machine Learning framework for Covid Detection Using Cough Sounds
inferred← citeshttps://doi.org/10.1109/ieit59852.2023.10335583openalex-snapshot
Intelligent Aerospace Terminologies Recognition based on Spectrogram using Machine Learning
inferred← citeshttps://doi.org/10.1109/smart55829.2022.10047498openalex-snapshot
Enhancement of Accuracy in Speech Recognition System for Detection of Covid-19 using Support Vector Machine
inferred← citeshttps://doi.org/10.12962/jaree.v6i1.229openalex-snapshot
Deep Learning-based Decision Support System for classification of COVID-19 and Pneumonia patients
inferred← citeshttps://doi.org/10.31590/ejosat.1083052openalex-snapshot
Öksürük Sesi Kayıtlarından Spektral Özellikler ile Otomatik COVID-19 Tespiti
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Solunum Hastalıkları ile İlişkili Semptom Seslerinin Sınıflandırılması
inferred← citeshttps://doi.org/10.3233/thc-240149openalex-snapshot
TO-LAB model: Real time Touchless Lung Abnormality detection model using USRP based machine learning algorithm
inferred← citeshttps://doi.org/10.3389/frsip.2022.759684openalex-snapshot
Automated Discrimination of Cough in Audio Recordings: A Scoping Review
inferred← citeshttps://doi.org/10.3390/diagnostics11111962openalex-snapshot
Automated COVID-19 and Heart Failure Detection Using DNA Pattern Technique with Cough Sounds
inferred← citeshttps://doi.org/10.3390/diagnostics14202273openalex-snapshot
Acoustic and Clinical Data Analysis of Vocal Recordings: Pandemic Insights and Lessons
inferred← citeshttps://doi.org/10.3390/electronics11162520openalex-snapshot
Detection of COVID-19 from Deep Breathing Sounds Using Sound Spectrum with Image Augmentation and Deep Learning Techniques
inferred← citeshttps://doi.org/10.3390/s22218114openalex-snapshot
The Use of Audio Signals for Detecting COVID-19: A Systematic Review
inferred← citeshttps://doi.org/10.3390/s24041173openalex-snapshot
Respiratory Diseases Diagnosis Using Audio Analysis and Artificial Intelligence: A Systematic Review
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The Importance of Rhythm Activity in Epilepsy EEG Signal Classification (An Educational Article)
inferred← citeshttps://doi.org/10.48550/arxiv.2110.00508openalex-snapshot
An Ensemble-based Multi-Criteria Decision Making Method for COVID-19 Cough Classification
inferred← citeshttps://doi.org/10.55056/jec.679openalex-snapshot
Responding to challenge call for machine learning model development in diagnosing respiratory disease sounds
inferred← citeshttps://doi.org/10.7717/peerj-cs.958openalex-snapshot
A systematic review on cough sound analysis for Covid-19 diagnosis and screening: is my cough sound COVID-19?
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