{"id":"https://openalex.org/W4400916207","doi":"https://doi.org/10.1007/s00500-024-09866-x","title":"Deep learning and feature fusion-based lung sound recognition model to diagnoses the respiratory diseases","display_name":"Deep learning and feature fusion-based lung sound recognition model to diagnoses the respiratory diseases","publication_year":2024,"publication_date":"2024-07-23","ids":{"openalex":"https://openalex.org/W4400916207","doi":"https://doi.org/10.1007/s00500-024-09866-x"},"language":"en","primary_location":{"id":"doi:10.1007/s00500-024-09866-x","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00500-024-09866-x","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00500-024-09866-x.pdf","source":{"id":"https://openalex.org/S65753830","display_name":"Soft Computing","issn_l":"1432-7643","issn":["1432-7643","1433-7479"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Soft Computing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s00500-024-09866-x.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5069850487","display_name":"Sara A. Shehab","orcid":"https://orcid.org/0009-0009-9906-8390"},"institutions":[{"id":"https://openalex.org/I4210134598","display_name":"Scientific Research Group in Egypt","ror":"https://ror.org/03rahtg67","country_code":"EG","type":"facility","lineage":["https://openalex.org/I4210134598"]},{"id":"https://openalex.org/I338016083","display_name":"University of Sadat City","ror":"https://ror.org/05p2q6194","country_code":"EG","type":"education","lineage":["https://openalex.org/I338016083"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Sara A. Shehab","raw_affiliation_strings":["Faculty of Computers and Artificial Intelligence, University of Sadat City, Sadat City, Egypt","Scientific Research School of Egypt (SRSEG), Cairo, Egypt"],"affiliations":[{"raw_affiliation_string":"Faculty of Computers and Artificial Intelligence, University of Sadat City, Sadat City, Egypt","institution_ids":["https://openalex.org/I338016083"]},{"raw_affiliation_string":"Scientific Research School of Egypt (SRSEG), Cairo, Egypt","institution_ids":["https://openalex.org/I4210134598"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066907086","display_name":"Kamel K. Mohammed","orcid":null},"institutions":[{"id":"https://openalex.org/I4210134598","display_name":"Scientific Research Group in Egypt","ror":"https://ror.org/03rahtg67","country_code":"EG","type":"facility","lineage":["https://openalex.org/I4210134598"]},{"id":"https://openalex.org/I184834183","display_name":"Al-Azhar University","ror":"https://ror.org/05fnp1145","country_code":"EG","type":"education","lineage":["https://openalex.org/I184834183"]}],"countries":["EG"],"is_corresponding":true,"raw_author_name":"Kamel K. Mohammed","raw_affiliation_strings":["Centre for Virus Research and Studies, Al-Azhar University, Cairo, Egypt","Scientific Research School of Egypt (SRSEG), Cairo, Egypt"],"affiliations":[{"raw_affiliation_string":"Centre for Virus Research and Studies, Al-Azhar University, Cairo, Egypt","institution_ids":["https://openalex.org/I184834183"]},{"raw_affiliation_string":"Scientific Research School of Egypt (SRSEG), Cairo, Egypt","institution_ids":["https://openalex.org/I4210134598"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108035307","display_name":"Ashraf Darwish","orcid":"https://orcid.org/0000-0002-0166-6280"},"institutions":[{"id":"https://openalex.org/I4210134598","display_name":"Scientific Research Group in Egypt","ror":"https://ror.org/03rahtg67","country_code":"EG","type":"facility","lineage":["https://openalex.org/I4210134598"]},{"id":"https://openalex.org/I84058292","display_name":"Helwan University","ror":"https://ror.org/00h55v928","country_code":"EG","type":"education","lineage":["https://openalex.org/I84058292"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Ashraf Darwish","raw_affiliation_strings":["Faculty of Science, Helwan University, Giza, Egypt","Scientific Research School of Egypt (SRSEG), Cairo, Egypt"],"affiliations":[{"raw_affiliation_string":"Faculty of Science, Helwan University, Giza, Egypt","institution_ids":["https://openalex.org/I84058292"]},{"raw_affiliation_string":"Scientific Research School of Egypt (SRSEG), Cairo, Egypt","institution_ids":["https://openalex.org/I4210134598"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085432173","display_name":"Aboul Ella Hassanien","orcid":"https://orcid.org/0000-0002-9989-6681"},"institutions":[{"id":"https://openalex.org/I4210134598","display_name":"Scientific Research Group in Egypt","ror":"https://ror.org/03rahtg67","country_code":"EG","type":"facility","lineage":["https://openalex.org/I4210134598"]},{"id":"https://openalex.org/I36721946","display_name":"Kuwait University","ror":"https://ror.org/021e5j056","country_code":"KW","type":"education","lineage":["https://openalex.org/I36721946"]},{"id":"https://openalex.org/I145487455","display_name":"Cairo University","ror":"https://ror.org/03q21mh05","country_code":"EG","type":"education","lineage":["https://openalex.org/I145487455"]}],"countries":["EG","KW"],"is_corresponding":false,"raw_author_name":"Aboul Ella Hassanien","raw_affiliation_strings":["College of Business Administration (CBA), Kuwait University, Kuwait City, Kuwait","Faculty of Computer and AI, Cairo University, Giza, Egypt","Scientific Research School of Egypt (SRSEG), Cairo, Egypt"],"affiliations":[{"raw_affiliation_string":"College of Business Administration (CBA), Kuwait University, Kuwait City, Kuwait","institution_ids":["https://openalex.org/I36721946"]},{"raw_affiliation_string":"Faculty of Computer and AI, Cairo University, Giza, Egypt","institution_ids":["https://openalex.org/I145487455"]},{"raw_affiliation_string":"Scientific Research School of Egypt (SRSEG), Cairo, Egypt","institution_ids":["https://openalex.org/I4210134598"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5066907086"],"corresponding_institution_ids":["https://openalex.org/I184834183","https://openalex.org/I4210134598"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":{"value":2390,"currency":"EUR","value_usd":2990},"fwci":8.4448,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.98228071,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"28","issue":"19","first_page":"11667","last_page":"11683"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12419","display_name":"Phonocardiography and Auscultation Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T11309","display_name":"Music and Audio Processing","score":0.9760000109672546,"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"}},{"id":"https://openalex.org/T12418","display_name":"Respiratory and Cough-Related Research","score":0.974399983882904,"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/discriminative-model","display_name":"Discriminative model","score":0.7722488045692444},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.735755443572998},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7171893119812012},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6523666381835938},{"id":"https://openalex.org/keywords/spectrogram","display_name":"Spectrogram","score":0.6425908803939819},{"id":"https://openalex.org/keywords/false-positive-paradox","display_name":"False positive paradox","score":0.6414201855659485},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.631965696811676},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6163861751556396},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.488484263420105},{"id":"https://openalex.org/keywords/medical-diagnosis","display_name":"Medical diagnosis","score":0.45502761006355286},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.44680914282798767},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4441211521625519},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3710952401161194},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.09203311800956726},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08194658160209656},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.07314109802246094}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7722488045692444},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.735755443572998},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7171893119812012},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6523666381835938},{"id":"https://openalex.org/C45273575","wikidata":"https://www.wikidata.org/wiki/Q578970","display_name":"Spectrogram","level":2,"score":0.6425908803939819},{"id":"https://openalex.org/C64869954","wikidata":"https://www.wikidata.org/wiki/Q1859747","display_name":"False positive paradox","level":2,"score":0.6414201855659485},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.631965696811676},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6163861751556396},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.488484263420105},{"id":"https://openalex.org/C534262118","wikidata":"https://www.wikidata.org/wiki/Q177719","display_name":"Medical diagnosis","level":2,"score":0.45502761006355286},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.44680914282798767},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4441211521625519},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3710952401161194},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.09203311800956726},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08194658160209656},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.07314109802246094},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s00500-024-09866-x","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00500-024-09866-x","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00500-024-09866-x.pdf","source":{"id":"https://openalex.org/S65753830","display_name":"Soft Computing","issn_l":"1432-7643","issn":["1432-7643","1433-7479"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Soft Computing","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s00500-024-09866-x","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00500-024-09866-x","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00500-024-09866-x.pdf","source":{"id":"https://openalex.org/S65753830","display_name":"Soft Computing","issn_l":"1432-7643","issn":["1432-7643","1433-7479"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Soft Computing","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.6499999761581421,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320330007","display_name":"Al-Azhar University","ror":"https://ror.org/05fnp1145"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4400916207.pdf"},"referenced_works_count":43,"referenced_works":["https://openalex.org/W1513801117","https://openalex.org/W2754136846","https://openalex.org/W2770896033","https://openalex.org/W2806006687","https://openalex.org/W2921077640","https://openalex.org/W2924911266","https://openalex.org/W2964770898","https://openalex.org/W2976001129","https://openalex.org/W2993118585","https://openalex.org/W3037666819","https://openalex.org/W3048439205","https://openalex.org/W3082319384","https://openalex.org/W3089867583","https://openalex.org/W3097359093","https://openalex.org/W3100777112","https://openalex.org/W3116715673","https://openalex.org/W3146081461","https://openalex.org/W3150272974","https://openalex.org/W3179217820","https://openalex.org/W3179495260","https://openalex.org/W3181882093","https://openalex.org/W3184562487","https://openalex.org/W3188992532","https://openalex.org/W3194600507","https://openalex.org/W3203753153","https://openalex.org/W3214429548","https://openalex.org/W4207056701","https://openalex.org/W4210428539","https://openalex.org/W4210473780","https://openalex.org/W4214737559","https://openalex.org/W4224240553","https://openalex.org/W4283513057","https://openalex.org/W4285115413","https://openalex.org/W4292298985","https://openalex.org/W4307122585","https://openalex.org/W4318570566","https://openalex.org/W4322761562","https://openalex.org/W4362465079","https://openalex.org/W4381988468","https://openalex.org/W4382702754","https://openalex.org/W4382930509","https://openalex.org/W4390547705","https://openalex.org/W4391734811"],"related_works":["https://openalex.org/W2530685530","https://openalex.org/W4375868962","https://openalex.org/W2011227383","https://openalex.org/W2088854863","https://openalex.org/W3179495260","https://openalex.org/W1976719989","https://openalex.org/W3127543252","https://openalex.org/W2065606036","https://openalex.org/W2942893872","https://openalex.org/W2016904525"],"abstract_inverted_index":{"Abstract":[0],"This":[1,81,199],"paper":[2],"proposed":[3,118,161,177],"a":[4,57,64,124],"novel":[5],"approach":[6,162,200],"for":[7,56],"detecting":[8],"lung":[9,18,61,98,128,152,194,215],"sound":[10,19,197],"disorders":[11],"using":[12],"deep":[13,30,43,136],"learning":[14],"feature":[15,137],"fusion.":[16],"The":[17,131,176],"dataset":[20,126],"are":[21,36],"oversampled":[22],"and":[23,94,167,173,188,212,223],"converted":[24],"into":[25],"spectrogram":[26,49],"images.":[27],"Then,":[28],"extracting":[29],"features":[31,44,73],"from":[32,51,74,139,196],"CNN":[33,76,108,141,146,158],"architectures,":[34,142,159],"which":[35],"pre-trained":[37],"on":[38,123],"large-scale":[39],"image":[40],"datasets.":[41],"These":[42],"capture":[45],"rich":[46],"representations":[47],"of":[48,60,88,97,116,127,214],"images":[50],"the":[52,71,85,89,103,114,117,135,160,202,209],"input":[53],"signals,":[54],"allowing":[55],"comprehensive":[58],"analysis":[59],"disorders.":[62,99],"Next,":[63],"fusion":[65,82,138],"technique":[66],"is":[67,110],"employed":[68],"to":[69,156,204,219],"combine":[70],"extracted":[72],"multiple":[75],"architectures":[77],"totlaly":[78],"8064":[79],"feature.":[80],"process":[83],"enhances":[84],"discriminative":[86],"power":[87],"features,":[90],"facilitating":[91],"more":[92],"accurate":[93],"robust":[95],"detection":[96,104,211],"To":[100,112],"further":[101],"improve":[102],"performance,":[105],"an":[106,120],"improved":[107,220],"Architecture":[109],"employed.":[111],"evaluate":[113],"effectiveness":[115],"approach,":[119],"experiments":[121],"conducted":[122],"large":[125],"disorder":[129,153],"signals.":[130],"results":[132],"demonstrate":[133],"that":[134],"different":[140,145],"combined":[143],"with":[144],"Layers,":[147],"achieves":[148,163,179],"superior":[149],"performance":[150],"in":[151,208],"detection.":[154],"Compared":[155],"individual":[157],"higher":[164],"accuracy,":[165,181],"sensitivity,":[166],"specificity,":[168,185],"effectively":[169],"reducing":[170],"false":[171,174],"negatives":[172],"positives.":[175],"model":[178],"96.03%":[180],"96.53%":[182],"Sensitivity,":[183],"99.424%":[184],"96.52%":[186],"precision,":[187],"96.50%":[189],"F1":[190],"Score":[191],"when":[192],"predicting":[193],"diseases":[195],"files.":[198],"has":[201],"potential":[203],"assist":[205],"healthcare":[206,225],"professionals":[207],"early":[210],"diagnosis":[213],"disorders,":[216],"ultimately":[217],"leading":[218],"patient":[221],"outcomes":[222],"enhanced":[224],"practices.":[226]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":15}],"updated_date":"2026-03-04T09:10:02.777135","created_date":"2025-10-10T00:00:00"}