{"id":"https://openalex.org/W4408379956","doi":"https://doi.org/10.3389/fdgth.2025.1551298","title":"SympCoughNet: symptom assisted audio-based COVID-19 detection","display_name":"SympCoughNet: symptom assisted audio-based COVID-19 detection","publication_year":2025,"publication_date":"2025-03-12","ids":{"openalex":"https://openalex.org/W4408379956","doi":"https://doi.org/10.3389/fdgth.2025.1551298","pmid":"https://pubmed.ncbi.nlm.nih.gov/40144457"},"language":"en","primary_location":{"id":"doi:10.3389/fdgth.2025.1551298","is_oa":true,"landing_page_url":"https://doi.org/10.3389/fdgth.2025.1551298","pdf_url":"https://www.frontiersin.org/journals/digital-health/articles/10.3389/fdgth.2025.1551298/pdf","source":{"id":"https://openalex.org/S4210170686","display_name":"Frontiers in Digital Health","issn_l":"2673-253X","issn":["2673-253X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Digital Health","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.frontiersin.org/journals/digital-health/articles/10.3389/fdgth.2025.1551298/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5061611657","display_name":"Yuhao Lin","orcid":"https://orcid.org/0000-0002-8244-8495"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhao Lin","raw_affiliation_strings":["School of Automation, Hangzhou Dianzi University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017150231","display_name":"Xuan Weng","orcid":null},"institutions":[{"id":"https://openalex.org/I27781120","display_name":"Wenzhou Medical University","ror":"https://ror.org/00rd5t069","country_code":"CN","type":"education","lineage":["https://openalex.org/I27781120"]},{"id":"https://openalex.org/I4210099263","display_name":"Ruian People's Hospital","ror":"https://ror.org/011b9vp56","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210099263"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiu Weng","raw_affiliation_strings":["Pediatrics Department, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China"],"affiliations":[{"raw_affiliation_string":"Pediatrics Department, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China","institution_ids":["https://openalex.org/I27781120","https://openalex.org/I4210099263"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063699066","display_name":"Bolun Zheng","orcid":"https://orcid.org/0000-0001-8788-1725"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bolun Zheng","raw_affiliation_strings":["School of Automation, Hangzhou Dianzi University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5118983664","display_name":"Weiwei Zhang","orcid":"https://orcid.org/0000-0003-3258-5528"},"institutions":[{"id":"https://openalex.org/I4210099263","display_name":"Ruian People's Hospital","ror":"https://ror.org/011b9vp56","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210099263"]},{"id":"https://openalex.org/I27781120","display_name":"Wenzhou Medical University","ror":"https://ror.org/00rd5t069","country_code":"CN","type":"education","lineage":["https://openalex.org/I27781120"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiwei Zhang","raw_affiliation_strings":["Infectious Disease Department, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China"],"affiliations":[{"raw_affiliation_string":"Infectious Disease Department, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China","institution_ids":["https://openalex.org/I27781120","https://openalex.org/I4210099263"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109537232","display_name":"Zichuan Bu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210142178","display_name":"Hangzhou DAC Biotech (China)","ror":"https://ror.org/04hy71c73","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210142178"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhanjun Bu","raw_affiliation_strings":["Hangzhou Feiyang Biotechnology Co. Ltd., Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Hangzhou Feiyang Biotechnology Co. Ltd., Hangzhou, China","institution_ids":["https://openalex.org/I4210142178"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084784478","display_name":"Yu Zhou","orcid":"https://orcid.org/0000-0003-1937-5331"},"institutions":[{"id":"https://openalex.org/I27781120","display_name":"Wenzhou Medical University","ror":"https://ror.org/00rd5t069","country_code":"CN","type":"education","lineage":["https://openalex.org/I27781120"]},{"id":"https://openalex.org/I4210099263","display_name":"Ruian People's Hospital","ror":"https://ror.org/011b9vp56","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210099263"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yu Zhou","raw_affiliation_strings":["Infectious Disease Department, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China"],"affiliations":[{"raw_affiliation_string":"Infectious Disease Department, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China","institution_ids":["https://openalex.org/I27781120","https://openalex.org/I4210099263"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5084784478"],"corresponding_institution_ids":["https://openalex.org/I27781120","https://openalex.org/I4210099263"],"apc_list":{"value":1900,"currency":"USD","value_usd":1900},"apc_paid":{"value":1900,"currency":"USD","value_usd":1900},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06966333,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"7","issue":null,"first_page":"1551298","last_page":"1551298"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12419","display_name":"Phonocardiography and Auscultation Techniques","score":0.9976999759674072,"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":0.9976999759674072,"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":0.9966999888420105,"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":0.9932000041007996,"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/leverage","display_name":"Leverage (statistics)","score":0.6511408686637878},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6387745141983032},{"id":"https://openalex.org/keywords/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.45369863510131836},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.450570672750473},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4454093873500824},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33352041244506836},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.3048929274082184},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.08012217283248901}],"concepts":[{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6511408686637878},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6387745141983032},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.45369863510131836},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.450570672750473},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4454093873500824},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33352041244506836},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3048929274082184},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.08012217283248901},{"id":"https://openalex.org/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"score":0.0},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3389/fdgth.2025.1551298","is_oa":true,"landing_page_url":"https://doi.org/10.3389/fdgth.2025.1551298","pdf_url":"https://www.frontiersin.org/journals/digital-health/articles/10.3389/fdgth.2025.1551298/pdf","source":{"id":"https://openalex.org/S4210170686","display_name":"Frontiers in Digital Health","issn_l":"2673-253X","issn":["2673-253X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Digital Health","raw_type":"journal-article"},{"id":"pmid:40144457","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40144457","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in digital health","raw_type":null},{"id":"pmh:oai:doaj.org/article:96d0f5b89af34438a31459704896322b","is_oa":true,"landing_page_url":"https://doaj.org/article/96d0f5b89af34438a31459704896322b","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Frontiers in Digital Health, Vol 7 (2025)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:11936986","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11936986","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Front Digit Health","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3389/fdgth.2025.1551298","is_oa":true,"landing_page_url":"https://doi.org/10.3389/fdgth.2025.1551298","pdf_url":"https://www.frontiersin.org/journals/digital-health/articles/10.3389/fdgth.2025.1551298/pdf","source":{"id":"https://openalex.org/S4210170686","display_name":"Frontiers in Digital Health","issn_l":"2673-253X","issn":["2673-253X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Digital Health","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4408379956.pdf"},"referenced_works_count":44,"referenced_works":["https://openalex.org/W2026150550","https://openalex.org/W2117671523","https://openalex.org/W2178525625","https://openalex.org/W2593463961","https://openalex.org/W2928165649","https://openalex.org/W3006111207","https://openalex.org/W3006115509","https://openalex.org/W3013896658","https://openalex.org/W3024869864","https://openalex.org/W3028563376","https://openalex.org/W3088067841","https://openalex.org/W3091000562","https://openalex.org/W3094550259","https://openalex.org/W3109783949","https://openalex.org/W3112200823","https://openalex.org/W3112906671","https://openalex.org/W3119464161","https://openalex.org/W3152531055","https://openalex.org/W3175510762","https://openalex.org/W3184214113","https://openalex.org/W3193775699","https://openalex.org/W3205790296","https://openalex.org/W3206775376","https://openalex.org/W4200115241","https://openalex.org/W4226442948","https://openalex.org/W4236965008","https://openalex.org/W4285048651","https://openalex.org/W4304015013","https://openalex.org/W4309592812","https://openalex.org/W4312180185","https://openalex.org/W4382463801","https://openalex.org/W4385822954","https://openalex.org/W4385823321","https://openalex.org/W4390569768","https://openalex.org/W4391604988","https://openalex.org/W4392539417","https://openalex.org/W4394688093","https://openalex.org/W4402950576","https://openalex.org/W4405429250","https://openalex.org/W6743731764","https://openalex.org/W6773857199","https://openalex.org/W6790158110","https://openalex.org/W6862069886","https://openalex.org/W6862799076"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4387369504","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"COVID-19":[0,36,81,147,181],"remains":[1],"a":[2,78,136],"significant":[3,154],"global":[4],"public":[5],"health":[6,40],"challenge.":[7],"While":[8],"nucleic":[9],"acid":[10],"tests,":[11,13],"antigen":[12],"and":[14,23,28,45,128,141,166],"CT":[15],"imaging":[16],"provide":[17],"high":[18],"accuracy,":[19,163],"they":[20],"face":[21],"inefficiencies":[22],"limited":[24],"accessibility,":[25],"making":[26,103],"rapid":[27],"convenient":[29],"testing":[30],"difficult.":[31],"Recent":[32],"studies":[33],"have":[34],"explored":[35],"detection":[37,182],"using":[38,130],"acoustic":[39],"signals,":[41],"such":[42,67],"as":[43,68,132,204],"cough":[44,87,213],"breathing":[46],"sounds.":[47],"However,":[48],"most":[49],"existing":[50],"approaches":[51],"focus":[52],"solely":[53],"on":[54,144,169],"audio":[55,82,214],"classification,":[56],"often":[57],"leading":[58],"to":[59,99,107,116,215],"suboptimal":[60],"accuracy":[61],"while":[62],"neglecting":[63],"valuable":[64],"prior":[65],"information,":[66],"clinical":[69,90],"symptoms.":[70],"To":[71],"address":[72],"this":[73],"limitation,":[74],"we":[75,185],"propose":[76],"SympCoughNet,":[77],"deep":[79],"learning-based":[80],"classification":[83,133,205],"network":[84,208],"that":[85,176,187,198],"integrates":[86],"sounds":[88],"with":[89],"symptom":[91,108,121,178,189],"data.":[92],"Our":[93,151,194],"model":[94,152],"employs":[95],"symptom-encoded":[96],"channel":[97],"weighting":[98],"enhance":[100],"feature":[101],"processing,":[102],"it":[104],"more":[105],"attentive":[106],"information.":[109,218],"We":[110,139],"also":[111],"conducted":[112],"an":[113],"ablation":[114,195],"study":[115,196],"assess":[117],"the":[118,125,145,170,207],"impact":[119],"of":[120],"integration":[122],"by":[123],"removing":[124],"symptom-attention":[126],"mechanism":[127],"instead":[129],"symptoms":[131,201],"labels":[134],"within":[135],"CNN-based":[137],"architecture.":[138],"trained":[140],"evaluated":[142],"SympCoughNet":[143],"UK":[146],"Vocal":[148],"Audio":[149],"Dataset.":[150],"demonstrated":[153],"performance":[155],"improvements":[156],"over":[157],"traditional":[158],"audio-only":[159],"approaches,":[160],"achieving":[161],"89.30%":[162],"94.74%":[164],"AUROC,":[165],"91.62%":[167],"PR":[168],"test":[171],"set.":[172],"The":[173],"results":[174],"confirm":[175],"incorporating":[177],"data":[179],"enhances":[180],"performance.":[183],"Additionally,":[184],"found":[186],"incorrect":[188],"inputs":[190],"could":[191],"influence":[192],"predictions.":[193],"validated":[197],"even":[199],"when":[200],"are":[202],"treated":[203],"labels,":[206],"can":[209],"still":[210],"effectively":[211],"leverage":[212],"infer":[216],"symptom-related":[217]},"counts_by_year":[],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
