{"id":"https://openalex.org/W4206299665","doi":"https://doi.org/10.1109/icm52667.2021.9664931","title":"Early Detection of COVID-19 Patients using Chromagram Features of Cough Sound Recordings with Machine Learning Algorithms","display_name":"Early Detection of COVID-19 Patients using Chromagram Features of Cough Sound Recordings with Machine Learning Algorithms","publication_year":2021,"publication_date":"2021-12-19","ids":{"openalex":"https://openalex.org/W4206299665","doi":"https://doi.org/10.1109/icm52667.2021.9664931"},"language":"en","primary_location":{"id":"doi:10.1109/icm52667.2021.9664931","doi":"https://doi.org/10.1109/icm52667.2021.9664931","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icm52667.2021.9664931","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Conference on Microelectronics (ICM)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5026891178","display_name":"Rumana Islam","orcid":"https://orcid.org/0000-0003-4713-6821","observed_orcids":["https://orcid.org/0000-0003-4713-6821"]},"institutions":[{"id":"https://openalex.org/I74413500","display_name":"University of Windsor","ror":"https://ror.org/01gw3d370","country_code":"CA","type":"education","lineage":["https://openalex.org/I74413500"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Rumana Islam","raw_affiliation_strings":["University of Windsor, Windsor, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Windsor, Windsor, Canada","institution_ids":["https://openalex.org/I74413500"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061387916","display_name":"Esam Abdel\u2010Raheem","orcid":"https://orcid.org/0000-0001-7596-2077","observed_orcids":["https://orcid.org/0000-0001-7596-2077"]},"institutions":[{"id":"https://openalex.org/I74413500","display_name":"University of Windsor","ror":"https://ror.org/01gw3d370","country_code":"CA","type":"education","lineage":["https://openalex.org/I74413500"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Esam Abdel-Raheem","raw_affiliation_strings":["University of Windsor, Windsor, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Windsor, Windsor, Canada","institution_ids":["https://openalex.org/I74413500"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031863917","display_name":"Mohammed Tarique","orcid":"https://orcid.org/0000-0002-9914-0147","observed_orcids":["https://orcid.org/0000-0002-9914-0147"]},"institutions":[{"id":"https://openalex.org/I4388891817","display_name":"University of Science and Technology of Fujairah","ror":"https://ror.org/00dgnn742","country_code":"AE","type":"education","lineage":["https://openalex.org/I4388891817","https://openalex.org/I4405252669"]},{"id":"https://openalex.org/I4405252669","display_name":"Fujairah University","ror":"https://ror.org/05h1fqt10","country_code":"AE","type":"education","lineage":["https://openalex.org/I4405252669"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Mohammed Tarique","raw_affiliation_strings":["Univ. of Sci. and Tech. of Fujairah, Fujairah, United Arab Emirates"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ. of Sci. and Tech. of Fujairah, Fujairah, United Arab Emirates","institution_ids":["https://openalex.org/I4388891817","https://openalex.org/I4405252669"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":10.0926,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.98175182,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"82","last_page":"85"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12419","display_name":"Phonocardiography and Auscultation Techniques","score":0.9721999764442444,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T12419","display_name":"Phonocardiography and Auscultation Techniques","score":0.9721999764442444,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.014700000174343586,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.003000000026077032,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/sars-cov-2-detection","display_name":"COVID-19 detection","score":0.9929999709129333},{"id":"https://openalex.org/keywords/cough-sound-analysis","display_name":"cough sound analysis","score":0.9190000295639038},{"id":"https://openalex.org/keywords/audio-feature-extraction","display_name":"audio feature extraction","score":0.8519999980926514},{"id":"https://openalex.org/keywords/convolutional-neural-networks","display_name":"convolutional neural networks","score":0.8159999847412109},{"id":"https://openalex.org/keywords/deep-neural-network","display_name":"deep neural network","score":0.9769999980926514},{"id":"https://openalex.org/keywords/non-invasive-diagnosis","display_name":"non-invasive diagnosis","score":0.6840000152587891}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7773874998092651},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.741165041923523},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7320855855941772},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7029446363449097},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6378797292709351},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5417959690093994},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5302526354789734},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.48442342877388},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4631910026073456},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.4317219853401184},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.40520185232162476},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3670615553855896},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icm52667.2021.9664931","doi":"https://doi.org/10.1109/icm52667.2021.9664931","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icm52667.2021.9664931","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Conference on Microelectronics (ICM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.9537000060081482}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1489184006","https://openalex.org/W2476684120","https://openalex.org/W2476797758","https://openalex.org/W2559588458","https://openalex.org/W2990462320","https://openalex.org/W3014146919","https://openalex.org/W3015034944","https://openalex.org/W3017138949","https://openalex.org/W3028563376","https://openalex.org/W3035378948","https://openalex.org/W3089168043","https://openalex.org/W3091468319","https://openalex.org/W3098831650","https://openalex.org/W3104903508","https://openalex.org/W3153867857","https://openalex.org/W6776422051","https://openalex.org/W7067437144"],"related_works":["https://openalex.org/W4206819918","https://openalex.org/W4214479721","https://openalex.org/W7218307408","https://openalex.org/W4214746598","https://openalex.org/W4200547095","https://openalex.org/W4408004058","https://openalex.org/W4297841696","https://openalex.org/W4405794994","https://openalex.org/W4313224848","https://openalex.org/W4408697156"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,47],"cough":[4,16,37],"sound-based":[5],"fast,":[6],"automated,":[7],"and":[8,40,62,85,89,110],"noninvasive":[9],"COVID-19":[10,20],"detection":[11],"system":[12,28,79,98],"to":[13,43],"discriminate":[14],"the":[15,19,23,36,44,77,96],"sounds":[17],"of":[18,46,83,95],"patients":[21],"from":[22,35],"healthy":[24],"individuals.":[25],"The":[26,72,92],"proposed":[27,78,97],"extracts":[29],"an":[30,81],"acoustic":[31],"feature":[32],"called":[33],"chromagram":[34],"sound":[38],"samples":[39],"applies":[41],"it":[42],"input":[45],"classifier":[48],"algorithm.":[49],"Two":[50],"artificial":[51],"neural":[52,59,64],"network":[53,60,65],"(ANN)":[54],"based":[55],"classifiers":[56],"namely":[57,105],"convolutional":[58],"(CNN)":[61],"deep":[63],"(DNN)":[66],"are":[67,114],"modeled":[68],"for":[69],"this":[70,118],"purpose.":[71],"simulation":[73],"results":[74],"show":[75],"that":[76],"achieves":[80],"accuracy":[82],"92.9%":[84],"91.7%":[86],"with":[87,99],"CNN":[88],"DNN":[90],"respectively.":[91],"performance":[93],"comparison":[94],"two":[100],"popular":[101],"machine":[102,108],"learning":[103],"algorithms":[104],"support":[106],"vector":[107],"(SVM)":[109],"k-nearest":[111],"neighbor":[112],"(kNN)":[113],"also":[115],"presented":[116],"in":[117],"work.":[119]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":8}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2022-01-25T00:00:00"}