{"id":"https://openalex.org/W3155751221","doi":"https://doi.org/10.1109/access.2021.3073086","title":"An Early Detection of Asthma Using BOMLA Detector","display_name":"An Early Detection of Asthma Using BOMLA Detector","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3155751221","doi":"https://doi.org/10.1109/access.2021.3073086","mag":"3155751221"},"language":"en","primary_location":{"id":"doi:10.1109/access.2021.3073086","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3073086","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09402730.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09402730.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101540530","display_name":"Md. Abdul Awal","orcid":"https://orcid.org/0000-0003-3028-4932"},"institutions":[{"id":"https://openalex.org/I124386471","display_name":"Khulna University","ror":"https://ror.org/05pny7s12","country_code":"BD","type":"education","lineage":["https://openalex.org/I124386471"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Md. Abdul Awal","raw_affiliation_strings":["Electronics and Communication Engineering Discipline, Khulna University, Khulna, Bangladesh"],"raw_orcid":"https://orcid.org/0000-0003-3028-4932","affiliations":[{"raw_affiliation_string":"Electronics and Communication Engineering Discipline, Khulna University, Khulna, Bangladesh","institution_ids":["https://openalex.org/I124386471"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100675152","display_name":"Md. Shahadat Hossain","orcid":"https://orcid.org/0000-0002-1368-7230"},"institutions":[{"id":"https://openalex.org/I4210132231","display_name":"International University of Business Agriculture and Technology","ror":"https://ror.org/02m32cr13","country_code":"BD","type":"education","lineage":["https://openalex.org/I4210132231"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Md. Shahadat Hossain","raw_affiliation_strings":["Department of Quantitative Sciences, International University of Business Agriculture and Technology, Dhaka, Bangladesh","International University of Business Agriculture and Technology, Dhaka, Bangladesh"],"raw_orcid":"https://orcid.org/0000-0002-1368-7230","affiliations":[{"raw_affiliation_string":"Department of Quantitative Sciences, International University of Business Agriculture and Technology, Dhaka, Bangladesh","institution_ids":["https://openalex.org/I4210132231"]},{"raw_affiliation_string":"International University of Business Agriculture and Technology, Dhaka, Bangladesh","institution_ids":["https://openalex.org/I4210132231"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035401791","display_name":"Kumar Debjit","orcid":"https://orcid.org/0000-0002-1779-0788"},"institutions":[{"id":"https://openalex.org/I185523456","display_name":"University of Southern Queensland","ror":"https://ror.org/04sjbnx57","country_code":"AU","type":"education","lineage":["https://openalex.org/I185523456"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Kumar Debjit","raw_affiliation_strings":["Faculty of Health, Engineering, and Sciences, University of Southern Queensland, Toowoomba, QLD, Australia"],"raw_orcid":"https://orcid.org/0000-0002-1779-0788","affiliations":[{"raw_affiliation_string":"Faculty of Health, Engineering, and Sciences, University of Southern Queensland, Toowoomba, QLD, Australia","institution_ids":["https://openalex.org/I185523456"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087290531","display_name":"Nafiz Ahmed","orcid":"https://orcid.org/0000-0002-9445-2846"},"institutions":[{"id":"https://openalex.org/I86695891","display_name":"Australian Catholic University","ror":"https://ror.org/04cxm4j25","country_code":"AU","type":"education","lineage":["https://openalex.org/I86695891"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Nafiz Ahmed","raw_affiliation_strings":["Faculty of Law and Business, Peter Faber Business School, Australian Catholic University, North Sydney, NSW, Australia"],"raw_orcid":"https://orcid.org/0000-0002-9445-2846","affiliations":[{"raw_affiliation_string":"Faculty of Law and Business, Peter Faber Business School, Australian Catholic University, North Sydney, NSW, Australia","institution_ids":["https://openalex.org/I86695891"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048322317","display_name":"Rajan Dev Nath","orcid":null},"institutions":[{"id":"https://openalex.org/I185523456","display_name":"University of Southern Queensland","ror":"https://ror.org/04sjbnx57","country_code":"AU","type":"education","lineage":["https://openalex.org/I185523456"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Rajan Dev Nath","raw_affiliation_strings":["Faculty of Business, Education, Law and Arts, School of Commerce, University of Southern Queensland, Toowoomba, QLD, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Business, Education, Law and Arts, School of Commerce, University of Southern Queensland, Toowoomba, QLD, Australia","institution_ids":["https://openalex.org/I185523456"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065646364","display_name":"GM Monsur Habib","orcid":"https://orcid.org/0000-0003-1544-2322"},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"G. M. Monsur Habib","raw_affiliation_strings":["Global Health Academy, The University of Edinburgh, Edinburgh, U.K"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Global Health Academy, The University of Edinburgh, Edinburgh, U.K","institution_ids":["https://openalex.org/I98677209"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036651604","display_name":"Md. Salauddin Khan","orcid":"https://orcid.org/0000-0002-5001-7877"},"institutions":[{"id":"https://openalex.org/I124386471","display_name":"Khulna University","ror":"https://ror.org/05pny7s12","country_code":"BD","type":"education","lineage":["https://openalex.org/I124386471"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Md. Salauddin Khan","raw_affiliation_strings":["Statistics Discipline, Khulna University, Khulna, Bangladesh"],"raw_orcid":"https://orcid.org/0000-0002-5001-7877","affiliations":[{"raw_affiliation_string":"Statistics Discipline, Khulna University, Khulna, Bangladesh","institution_ids":["https://openalex.org/I124386471"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059034151","display_name":"Md. Akhtarul Islam","orcid":"https://orcid.org/0000-0003-2396-2168"},"institutions":[{"id":"https://openalex.org/I124386471","display_name":"Khulna University","ror":"https://ror.org/05pny7s12","country_code":"BD","type":"education","lineage":["https://openalex.org/I124386471"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Md. Akhtarul Islam","raw_affiliation_strings":["Statistics Discipline, Khulna University, Khulna, Bangladesh"],"raw_orcid":"https://orcid.org/0000-0003-2396-2168","affiliations":[{"raw_affiliation_string":"Statistics Discipline, Khulna University, Khulna, Bangladesh","institution_ids":["https://openalex.org/I124386471"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017410063","display_name":"M. A. Parvez Mahmud","orcid":"https://orcid.org/0000-0002-1905-6800"},"institutions":[{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"M. A. Parvez Mahmud","raw_affiliation_strings":["School of Engineering, Deakin University, Geelong, VIC, Australia"],"raw_orcid":"https://orcid.org/0000-0002-1905-6800","affiliations":[{"raw_affiliation_string":"School of Engineering, Deakin University, Geelong, VIC, Australia","institution_ids":["https://openalex.org/I149704539"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":9,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.7832,"has_fulltext":true,"cited_by_count":32,"citation_normalized_percentile":{"value":0.83603706,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"9","issue":null,"first_page":"58403","last_page":"58420"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10051","display_name":"Asthma and respiratory diseases","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/2737","display_name":"Physiology"},"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":0.9599000215530396,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7662789821624756},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6284955739974976},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.539978563785553},{"id":"https://openalex.org/keywords/discriminant","display_name":"Discriminant","score":0.5362839698791504},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.5206953287124634},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.4801442325115204},{"id":"https://openalex.org/keywords/gradient-boosting","display_name":"Gradient boosting","score":0.47973528504371643},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.45977720618247986},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4566965699195862},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4532327651977539},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4302644729614258},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.4100077152252197}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7662789821624756},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6284955739974976},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.539978563785553},{"id":"https://openalex.org/C78397625","wikidata":"https://www.wikidata.org/wiki/Q192487","display_name":"Discriminant","level":2,"score":0.5362839698791504},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.5206953287124634},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.4801442325115204},{"id":"https://openalex.org/C70153297","wikidata":"https://www.wikidata.org/wiki/Q5591907","display_name":"Gradient boosting","level":3,"score":0.47973528504371643},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.45977720618247986},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4566965699195862},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4532327651977539},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4302644729614258},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.4100077152252197}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/access.2021.3073086","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3073086","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09402730.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:3e92e6d0a22845dcb6f8b6a2162018a5","is_oa":true,"landing_page_url":"https://doaj.org/article/3e92e6d0a22845dcb6f8b6a2162018a5","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 9, Pp 58403-58420 (2021)","raw_type":"article"},{"id":"pmh:oai:dro.deakin.edu.au:DU:30150345","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306401102","display_name":"Own your potential (DEAKIN)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I149704539","host_organization_name":"Deakin University","host_organization_lineage":["https://openalex.org/I149704539"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal Article"},{"id":"pmh:oai:figshare.com:article/20670315","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/An_Early_Detection_of_Asthma_using_BOMLA_Detector/20670315","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"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":"","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1109/access.2021.3073086","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3073086","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09402730.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.4699999988079071,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"},{"score":0.4399999976158142,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3155751221.pdf","grobid_xml":"https://content.openalex.org/works/W3155751221.grobid-xml"},"referenced_works_count":66,"referenced_works":["https://openalex.org/W55400469","https://openalex.org/W136972161","https://openalex.org/W571200655","https://openalex.org/W1970879128","https://openalex.org/W1999307677","https://openalex.org/W2000674431","https://openalex.org/W2010420719","https://openalex.org/W2016511593","https://openalex.org/W2020669703","https://openalex.org/W2025037675","https://openalex.org/W2028627033","https://openalex.org/W2042204882","https://openalex.org/W2043990114","https://openalex.org/W2060089642","https://openalex.org/W2096945990","https://openalex.org/W2104933073","https://openalex.org/W2105979504","https://openalex.org/W2111964984","https://openalex.org/W2114695306","https://openalex.org/W2129051787","https://openalex.org/W2131414141","https://openalex.org/W2136199835","https://openalex.org/W2137977421","https://openalex.org/W2144376155","https://openalex.org/W2150981328","https://openalex.org/W2162750253","https://openalex.org/W2167277498","https://openalex.org/W2168922709","https://openalex.org/W2189149359","https://openalex.org/W2468462628","https://openalex.org/W2475602767","https://openalex.org/W2478417379","https://openalex.org/W2516346419","https://openalex.org/W2522681375","https://openalex.org/W2560974992","https://openalex.org/W2572787139","https://openalex.org/W2736848882","https://openalex.org/W2747821050","https://openalex.org/W2800395906","https://openalex.org/W2804868450","https://openalex.org/W2898812155","https://openalex.org/W2900944333","https://openalex.org/W2913840411","https://openalex.org/W2914621829","https://openalex.org/W2919979744","https://openalex.org/W2941670483","https://openalex.org/W2970763034","https://openalex.org/W3004204682","https://openalex.org/W3004585555","https://openalex.org/W3014381512","https://openalex.org/W3014974411","https://openalex.org/W3020776760","https://openalex.org/W3024574505","https://openalex.org/W3043299403","https://openalex.org/W3081755675","https://openalex.org/W3101430594","https://openalex.org/W3116632780","https://openalex.org/W4232345992","https://openalex.org/W4232552111","https://openalex.org/W4235482560","https://openalex.org/W6675634716","https://openalex.org/W6678860708","https://openalex.org/W6719982585","https://openalex.org/W6731520827","https://openalex.org/W6742830261","https://openalex.org/W6787983085"],"related_works":["https://openalex.org/W2967733078","https://openalex.org/W3204430031","https://openalex.org/W3137904399","https://openalex.org/W2350751952","https://openalex.org/W4310492845","https://openalex.org/W2362114017","https://openalex.org/W1999647744","https://openalex.org/W2885778889","https://openalex.org/W2766514146","https://openalex.org/W2885516856"],"abstract_inverted_index":{"Asthma":[0,190],"is":[1,15,36,202,217,263],"a":[2,50,246],"chronic":[3],"and":[4,39,112,136,183,194,204,211],"airway-induced":[5],"disease,":[6],"causing":[7],"the":[8,21,27,93,151,156,161,172,176,230,235,250,255,259,266],"incidence":[9],"of":[10,34,222,249,258,276],"bronchus":[11],"inflammation,":[12],"breathlessness,":[13],"wheezing,":[14],"drastically":[16],"becoming":[17],"life-threatening.":[18],"Even":[19],"in":[20,92,150,229,272],"worst":[22],"cases,":[23],"it":[24,205,262],"may":[25],"destroy":[26],"quality":[28],"to":[29,84,154,160,169,209,233,253],"lead.":[30],"Therefore,":[31],"early":[32,274],"detection":[33],"asthma":[35,45],"urgently":[37],"needed,":[38],"machine":[40,52],"learning":[41,53],"can":[42],"help":[43,270],"identify":[44],"accurately.":[46],"In":[47,120],"this":[48],"paper,":[49],"novel":[51],"framework,":[54],"namely":[55],"BOMLA":[56,94,152,198,267],"(":[57],"<bold":[58,62,66,70,76],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[59,63,67,71,77],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">B</b>":[60],"ayesian":[61],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">O</b>":[64],"ptimisation-based":[65],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">M</b>":[68],"achine":[69],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">L</b>":[72],"earning":[73],"framework":[74],"for":[75,188],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">A</b>":[78],"sthma)":[79],"detector":[80,153,199,268],"has":[81,146,165,206,225,242],"been":[82,90,148,167,207,227,243],"proposed":[83,251],"detect":[85],"asthma.":[86,277],"Ten":[87],"classifiers":[88],"have":[89],"utilized":[91],"detector,":[95],"where":[96],"Support":[97],"Vector":[98],"Classifier":[99,106],"(SVC),":[100],"Random":[101],"Forest":[102],"(RF),":[103],"Gradient":[104,109],"Boosting":[105,110],"(GBC),":[107],"eXtreme":[108],"(XGB),":[111],"Artificial":[113],"Neural":[114],"Network":[115],"(ANN)":[116],"are":[117,140],"state-of-the-art":[118],"classifiers.":[119,143],"contrast,":[121],"Linear":[122],"Discriminant":[123,127],"Analysis":[124,128],"(LDA),":[125],"Quadratic":[126],"(QLDA),":[129],"Naive":[130],"Bayes":[131],"(NB),":[132],"Decision":[133],"Tree":[134],"(DT),":[135],"K-Nearest":[137],"Neighbor":[138],"(KNN)":[139],"conventional":[141],"popular":[142],"ADASYN":[144,173],"algorithm":[145,174],"also":[147,226],"employed":[149],"eradicate":[155],"issues":[157],"created":[158],"due":[159],"imbalanced":[162],"dataset.":[163],"It":[164],"even":[166],"attempted":[168],"delineate":[170],"how":[171],"affects":[175],"classification":[177],"performance.":[178],"The":[179,219],"highest":[180],"accuracy":[181],"(ACC)":[182],"Matthews\u2019s":[184],"correlation":[185],"coefficient":[186],"(MCC)":[187],"an":[189],"dataset":[191],"provide":[192],"94.35%":[193],"88.97%,":[195],"respectively,":[196,213],"using":[197],"when":[200,214],"SVC":[201],"adapted,":[203],"increased":[208],"96.52%":[210],"93.04%,":[212],"ensemble":[215],"technique":[216],"adapted.":[218],"one-way":[220],"analysis":[221],"variance":[223],"(ANOVA)":[224],"performed":[228],"10-fold":[231],"cross-validation":[232],"measure":[234],"statistical":[236],"significance.":[237],"A":[238],"decision":[239],"support":[240],"system":[241,252],"built":[244],"as":[245],"potential":[247],"application":[248],"visualize":[254],"probable":[256],"outcome":[257],"patient.":[260],"Finally,":[261],"expected":[264],"that":[265],"will":[269],"patients":[271],"their":[273],"diagnosis":[275]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}