{"id":"https://openalex.org/W2964770898","doi":"https://doi.org/10.1109/jbhi.2019.2931395","title":"Deep Learning on Computerized Analysis of Chronic Obstructive Pulmonary Disease","display_name":"Deep Learning on Computerized Analysis of Chronic Obstructive Pulmonary Disease","publication_year":2019,"publication_date":"2019-07-26","ids":{"openalex":"https://openalex.org/W2964770898","doi":"https://doi.org/10.1109/jbhi.2019.2931395","mag":"2964770898","pmid":"https://pubmed.ncbi.nlm.nih.gov/31369388"},"language":"en","primary_location":{"id":"doi:10.1109/jbhi.2019.2931395","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2019.2931395","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Biomedical and Health Informatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hdl.handle.net/20.500.12498/8621","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5071943644","display_name":"G\u00f6khan Altan","orcid":"https://orcid.org/0000-0001-7883-3131"},"institutions":[{"id":"https://openalex.org/I4210155859","display_name":"\u0130skenderun Technical University","ror":"https://ror.org/052nzqz14","country_code":"TR","type":"education","lineage":["https://openalex.org/I4210155859"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Gokhan Altan","raw_affiliation_strings":["Computer Engineering Department, Iskenderun Technical University, Hatay, Turkey"],"raw_orcid":"https://orcid.org/0000-0001-7883-3131","affiliations":[{"raw_affiliation_string":"Computer Engineering Department, Iskenderun Technical University, Hatay, Turkey","institution_ids":["https://openalex.org/I4210155859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062586029","display_name":"Yakup Kutlu","orcid":"https://orcid.org/0000-0002-9853-2878"},"institutions":[{"id":"https://openalex.org/I4210155859","display_name":"\u0130skenderun Technical University","ror":"https://ror.org/052nzqz14","country_code":"TR","type":"education","lineage":["https://openalex.org/I4210155859"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Yakup Kutlu","raw_affiliation_strings":["Computer Engineering Department, Iskenderun Technical University, Hatay, Turkey"],"raw_orcid":"https://orcid.org/0000-0002-9853-2878","affiliations":[{"raw_affiliation_string":"Computer Engineering Department, Iskenderun Technical University, Hatay, Turkey","institution_ids":["https://openalex.org/I4210155859"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066954095","display_name":"Novruz Allahverdi","orcid":"https://orcid.org/0000-0001-9807-884X"},"institutions":[{"id":"https://openalex.org/I4210153056","display_name":"KTO Karatay University","ror":"https://ror.org/054341q84","country_code":"TR","type":"education","lineage":["https://openalex.org/I4210153056"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Novruz Allahverdi","raw_affiliation_strings":["Computer Engineering Department, KTO Karatay University, Konya, Turkey"],"raw_orcid":"https://orcid.org/0000-0001-9807-884X","affiliations":[{"raw_affiliation_string":"Computer Engineering Department, KTO Karatay University, Konya, Turkey","institution_ids":["https://openalex.org/I4210153056"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":11.0524,"has_fulltext":false,"cited_by_count":157,"citation_normalized_percentile":{"value":0.98883079,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"24","issue":"5","first_page":"1344","last_page":"1350"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12419","display_name":"Phonocardiography and Auscultation Techniques","score":0.9898999929428101,"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":0.9898999929428101,"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/T12418","display_name":"Respiratory and Cough-Related Research","score":0.003599999938160181,"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/T10143","display_name":"Chronic Obstructive Pulmonary Disease (COPD) Research","score":0.000699999975040555,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/copd","display_name":"COPD","score":0.7309238910675049},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6190075874328613},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6151282787322998},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5389993190765381},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5032462477684021},{"id":"https://openalex.org/keywords/pulmonary-disease","display_name":"Pulmonary disease","score":0.471368670463562},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4430857002735138},{"id":"https://openalex.org/keywords/hilbert-transform","display_name":"Hilbert transform","score":0.4251707196235657},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.36190417408943176},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3585307002067566},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32266542315483093},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.11611407995223999}],"concepts":[{"id":"https://openalex.org/C2776780178","wikidata":"https://www.wikidata.org/wiki/Q199804","display_name":"COPD","level":2,"score":0.7309238910675049},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6190075874328613},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6151282787322998},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5389993190765381},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5032462477684021},{"id":"https://openalex.org/C2992779976","wikidata":"https://www.wikidata.org/wiki/Q3286546","display_name":"Pulmonary disease","level":2,"score":0.471368670463562},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4430857002735138},{"id":"https://openalex.org/C28799612","wikidata":"https://www.wikidata.org/wiki/Q685437","display_name":"Hilbert transform","level":3,"score":0.4251707196235657},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.36190417408943176},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3585307002067566},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32266542315483093},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.11611407995223999},{"id":"https://openalex.org/C168110828","wikidata":"https://www.wikidata.org/wiki/Q1331626","display_name":"Spectral density","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/jbhi.2019.2931395","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2019.2931395","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Biomedical and Health Informatics","raw_type":"journal-article"},{"id":"pmid:31369388","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/31369388","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":"IEEE journal of biomedical and health informatics","raw_type":null},{"id":"pmh:oai:acikerisim.karatay.edu.tr:20.500.12498/8621","is_oa":true,"landing_page_url":"https://hdl.handle.net/20.500.12498/8621","pdf_url":null,"source":{"id":"https://openalex.org/S7407055354","display_name":"KTO Karatay University Institutional Archive","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://dx.doi.org/10.1109/JBHI.2019.2931395","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:acikerisim.karatay.edu.tr:20.500.12498/8621","is_oa":true,"landing_page_url":"https://hdl.handle.net/20.500.12498/8621","pdf_url":null,"source":{"id":"https://openalex.org/S7407055354","display_name":"KTO Karatay University Institutional Archive","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://dx.doi.org/10.1109/JBHI.2019.2931395","raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.6000000238418579,"display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W55501266","https://openalex.org/W1593280506","https://openalex.org/W1965992569","https://openalex.org/W1973445088","https://openalex.org/W1979785319","https://openalex.org/W2007221293","https://openalex.org/W2017714438","https://openalex.org/W2078010953","https://openalex.org/W2080968155","https://openalex.org/W2110798204","https://openalex.org/W2120390927","https://openalex.org/W2136922672","https://openalex.org/W2138312725","https://openalex.org/W2155523882","https://openalex.org/W2295562464","https://openalex.org/W2328176404","https://openalex.org/W2408659891","https://openalex.org/W2514745320","https://openalex.org/W2566396942","https://openalex.org/W2587907819","https://openalex.org/W2614152541","https://openalex.org/W2790077231","https://openalex.org/W2790124003","https://openalex.org/W2806006687","https://openalex.org/W2886172374","https://openalex.org/W2918516553","https://openalex.org/W4230946174","https://openalex.org/W4236639597","https://openalex.org/W4237240888","https://openalex.org/W4245800072","https://openalex.org/W4294157727","https://openalex.org/W6676481782","https://openalex.org/W6737866578","https://openalex.org/W6760179618"],"related_works":["https://openalex.org/W2326585857","https://openalex.org/W142525846","https://openalex.org/W2312602415","https://openalex.org/W2312864656","https://openalex.org/W2472126364","https://openalex.org/W2320098543","https://openalex.org/W2585009645","https://openalex.org/W2333131755","https://openalex.org/W2372297656","https://openalex.org/W2923872113"],"abstract_inverted_index":{"GOAL:":[0],"Chronic":[1],"obstructive":[2],"pulmonary":[3],"disease":[4,20],"(COPD)":[5],"is":[6,17,48,67,187],"one":[7],"of":[8,45,58,86,100,120,152,168,211],"the":[9,13,46,55,107,117,121,126,138,169,195,209,213],"deadliest":[10],"diseases":[11],"in":[12,40,116,146],"world.":[14],"Because":[15],"COPD":[16,59,129,200],"an":[18,30,68],"incurable":[19],"and":[21,79,130,155,160,201],"requires":[22],"considerable":[23],"time":[24],"to":[25,36,76,124,198],"be":[26],"diagnosed":[27],"even":[28],"by":[29,82],"experienced":[31],"specialist,":[32],"it":[33],"becomes":[34],"important":[35],"provide":[37],"analysis":[38,167],"abnormalities":[39],"simple":[41],"ways.":[42],"The":[43,133,164],"aim":[44],"study":[47,90,186,190],"comparing":[49],"multiple":[50],"machine":[51],"learning":[52,66,112],"algorithms":[53,175],"for":[54,157],"early":[56],"diagnosis":[57],"using":[60,97,106,173],"multi-channel":[61,170],"lung":[62,95,171,196,206,215],"sounds.":[63],"METHODS:":[64],"Deep":[65,111],"efficient":[69],"machine-learning":[70],"algorithm,":[71],"which":[72],"comprises":[73],"unsupervised":[74],"training":[75,81],"reduce":[77],"optimization":[78],"supervised":[80],"a":[83,177,188],"feature-based":[84],"distribution":[85],"classification":[87,118,149,182],"parameters.":[88],"This":[89],"focuses":[91,193],"on":[92,194],"analyzing":[93],"multichannel":[94],"sounds":[96,172,197,207],"statistical":[98,142],"features":[99,143],"frequency":[101],"modulations":[102],"that":[103,191],"are":[104],"extracted":[105],"Hilbert-Huang":[108,139],"transform.":[109],"RESULTS:":[110],"algorithm":[113],"was":[114,144],"used":[115],"stage":[119],"proposed":[122,134,165],"model":[123,136],"separate":[125,199],"patients":[127],"with":[128,137,180],"healthy":[131],"subjects.":[132],"DL":[135,174],"transform":[140],"based":[141],"successful":[145],"achieving":[147],"high":[148,181],"performance":[150],"rates":[151],"93.67%,":[153],"91%,":[154],"96.33%":[156],"accuracy,":[158],"sensitivity,":[159],"specificity,":[161],"respectively.":[162],"CONCLUSION:":[163],"computerized":[166],"provides":[176],"standardized":[178],"assessment":[179],"performance.":[183],"SIGNIFICANCE:":[184],"Our":[185],"pioneer":[189],"directly":[192],"non-COPD":[202],"patients.":[203],"Analyzing":[204],"12-channel":[205],"gives":[208],"advantages":[210],"assessing":[212],"entire":[214],"obstructions.":[216]},"counts_by_year":[{"year":2026,"cited_by_count":10},{"year":2025,"cited_by_count":29},{"year":2024,"cited_by_count":26},{"year":2023,"cited_by_count":29},{"year":2022,"cited_by_count":30},{"year":2021,"cited_by_count":25},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}