{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,6]],"date-time":"2026-02-06T23:32:26Z","timestamp":1770420746342,"version":"3.49.0"},"reference-count":56,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"name":"ConnectedHealth","award":["46858"],"award-info":[{"award-number":["46858"]}]},{"DOI":"10.13039\/501100007434","name":"OSCAR","doi-asserted-by":"publisher","award":["LISBOA-01-02B7-FEDER-051277"],"award-info":[{"award-number":["LISBOA-01-02B7-FEDER-051277"]}],"id":[{"id":"10.13039\/501100007434","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100007434","name":"OSCAR","doi-asserted-by":"publisher","award":["POCI-01-02B7-FEDER-051277"],"award-info":[{"award-number":["POCI-01-02B7-FEDER-051277"]}],"id":[{"id":"10.13039\/501100007434","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Competitiveness and Internationalisation Operational Programme"},{"name":"Lisbon Regional Operational Programme"},{"name":"PORTUGAL 2020 Partnership Agreement"},{"DOI":"10.13039\/501100008530","name":"European Regional Development Fund","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100008530","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2022]]},"DOI":"10.1109\/access.2022.3211295","type":"journal-article","created":{"date-parts":[[2022,10,3]],"date-time":"2022-10-03T20:20:19Z","timestamp":1664828419000},"page":"105149-105168","source":"Crossref","is-referenced-by-count":6,"title":["Clinically Relevant Sound-Based Features in COVID-19 Identification: Robustness Assessment With a Data-Centric Machine Learning Pipeline"],"prefix":"10.1109","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6907-089X","authenticated-orcid":false,"given":"Pedro","family":"Matias","sequence":"first","affiliation":[{"name":"Fraunhofer Portugal AICOS–Porto, Porto, Portugal"}]},{"given":"Joao","family":"Costa","sequence":"additional","affiliation":[{"name":"Fraunhofer Portugal AICOS–Porto, Porto, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4234-5336","authenticated-orcid":false,"given":"Andre V.","family":"Carreiro","sequence":"additional","affiliation":[{"name":"Fraunhofer Portugal AICOS–Porto, Porto, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4022-7424","authenticated-orcid":false,"given":"Hugo","family":"Gamboa","sequence":"additional","affiliation":[{"name":"Fraunhofer Portugal AICOS–Porto, Porto, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8488-256X","authenticated-orcid":false,"given":"Ines","family":"Sousa","sequence":"additional","affiliation":[{"name":"Fraunhofer Portugal AICOS–Porto, Porto, Portugal"}]},{"given":"Pedro","family":"Gomez","sequence":"additional","affiliation":[{"name":"NeuSpeLab, CTB, Universidad Politécnica de Madrid, Madrid, Spain"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6418-2312","authenticated-orcid":false,"given":"Joana","family":"Sousa","sequence":"additional","affiliation":[{"name":"NOS Inovação, Campo Grande, Lisbon, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5149-7473","authenticated-orcid":false,"given":"Nuno","family":"Neuparth","sequence":"additional","affiliation":[{"name":"Comprehensive Health Research Center (CHRC), NOVA Medical School, Lisbon, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4129-133X","authenticated-orcid":false,"given":"Pedro","family":"Carreiro-Martins","sequence":"additional","affiliation":[{"name":"Comprehensive Health Research Center (CHRC), NOVA Medical School, Lisbon, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2881-313X","authenticated-orcid":false,"given":"Filipe","family":"Soares","sequence":"additional","affiliation":[{"name":"Fraunhofer Portugal AICOS–Porto, Porto, Portugal"}]}],"member":"263","reference":[{"key":"ref1","volume-title":"Naming the Coronavirus Disease (COVID-19) and the Virus That Causes It","year":"2021"},{"key":"ref2","volume-title":"Coronavirus","author":"Organization","year":"2021"},{"key":"ref3","volume-title":"Mortality Analyses","year":"2022"},{"key":"ref4","article-title":"Vaccine effectiveness and duration of protection of comirnaty, vaxzevria and spikevax against mild and severe COVID-19 in the UK","author":"Andrews","year":"2021","journal-title":"medRxiv"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.2139\/ssrn.3949410"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1038\/s41562-021-01122-8"},{"key":"ref7","article-title":"IATos: AI-powered pre-screening tool for COVID-19 from cough audio samples","author":"Trejo Pizzo","year":"2021","journal-title":"arXiv:2104.13247"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1038\/s41746-020-00372-6"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1186\/s12911-020-01266-z"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2021.108289"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-021-95042-2"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.jvoice.2021.11.004"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.21437\/interspeech.2020-2768"},{"key":"ref14","first-page":"1","article-title":"COVID-19 sounds: A large-scale audio dataset for digital respiratory screening","volume-title":"Proc. Conf. Neural Inf. Process. Syst. Datasets Benchmarks Track (Round)","author":"Xia"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1186\/s13634-021-00755-1"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.2196\/37004"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.3389\/fpubh.2022.898254"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3412865"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1136\/bmjinnov-2021-000668"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2021.104572"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-021-06346-3"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICICCS51141.2021.9432324"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-16474-3_13"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CCCI49893.2020.9256562"},{"key":"ref25","article-title":"Infections of the respiratory system","volume-title":"Medical Microbiology","author":"Dasaraju","year":"1996"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.immuni.2020.05.004"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.4161\/viru.22466"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.7162\/S1809-97772012000200016"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1136\/bmjresp-2017-000178"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ANZIIS.2001.974110"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1006\/pulp.1996.0034"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.3389\/fimmu.2020.01626"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1097\/MD.0000000000025230"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-021-93046-6"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1177\/20503121211016965"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1002\/9781118584156.ch2"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.imu.2020.100319"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1007\/s10439-013-0836-0"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1121\/10.0005194"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0162128"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1016\/s0140-6736(01)06451-0"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1016\/j.mayocpiqo.2021.05.007"},{"key":"ref43","volume-title":"Audiomentations","author":"Jordal","year":"2022"},{"key":"ref44","article-title":"The COUGHVID crowdsourcing dataset: A corpus for the study of large-scale cough analysis algorithms","author":"Orlandic","year":"2020","journal-title":"arXiv:2009.11644"},{"key":"ref45","volume-title":"Librosa\/Librosa: 0.9.0","author":"McFee","year":"2022"},{"key":"ref46","article-title":"Self-normalizing neural networks","author":"Klambauer","year":"2017","journal-title":"arXiv:1706.02515"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1016\/j.softx.2020.100456"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2019.04.029"},{"issue":"1193","key":"ref49","first-page":"97","article-title":"Accurate short-term analysis of the fundamental frequency and the harmonics-to-noise ratio of a sampled sound","volume-title":"IFA Proc.","volume":"17","author":"Boersma"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1016\/j.otoeng.2017.05.002"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1016\/j.protcy.2013.12.124"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1044\/1092-4388(2009\/08-0184)"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1613\/jair.953"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-31204-0_9"},{"issue":"85","key":"ref55","first-page":"2825","article-title":"Scikit-learn: Machine learning in Python","volume":"12","author":"Pedregosa","year":"2011","journal-title":"J. Mach. Learn. Res."},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2010.764"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/9668973\/09906975.pdf?arnumber=9906975","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,22]],"date-time":"2024-01-22T22:33:40Z","timestamp":1705962820000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9906975\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":56,"URL":"https:\/\/doi.org\/10.1109\/access.2022.3211295","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]}}}