{"id":"https://openalex.org/W3181611877","doi":"https://doi.org/10.4018/ijaec.2021070103","title":"Classification of Coronary Artery Disease Using Multilayer Perceptron Neural Network","display_name":"Classification of Coronary Artery Disease Using Multilayer Perceptron Neural Network","publication_year":2021,"publication_date":"2021-07-01","ids":{"openalex":"https://openalex.org/W3181611877","doi":"https://doi.org/10.4018/ijaec.2021070103","mag":"3181611877"},"language":"en","primary_location":{"id":"doi:10.4018/ijaec.2021070103","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijaec.2021070103","pdf_url":null,"source":{"id":"https://openalex.org/S144758376","display_name":"International Journal of Applied Evolutionary Computation","issn_l":"1942-3594","issn":["1942-3594","1942-3608"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Applied Evolutionary Computation","raw_type":"journal-article"},"type":"article","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/A5101810603","display_name":"Pratibha Verma","orcid":null},"institutions":[{"id":"https://openalex.org/I3129960170","display_name":"Dr. C. V. Raman University","ror":"https://ror.org/00mc6bw20","country_code":"IN","type":"education","lineage":["https://openalex.org/I3129960170"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Pratibha Verma","raw_affiliation_strings":["Dr. C. V. Raman University, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dr. C. V. Raman University, India","institution_ids":["https://openalex.org/I3129960170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004996005","display_name":"Vineet Kumar Awasthi","orcid":"https://orcid.org/0000-0003-3712-785X"},"institutions":[{"id":"https://openalex.org/I3129960170","display_name":"Dr. C. V. Raman University","ror":"https://ror.org/00mc6bw20","country_code":"IN","type":"education","lineage":["https://openalex.org/I3129960170"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Vineet Kumar Awasthi","raw_affiliation_strings":["Dr. C. V. Raman University, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dr. C. V. Raman University, India","institution_ids":["https://openalex.org/I3129960170"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063350667","display_name":"Sanat Kumar Sahu","orcid":"https://orcid.org/0000-0002-5686-7119"},"institutions":[{"id":"https://openalex.org/I4210135828","display_name":"Bastar University","ror":"https://ror.org/03yahhs20","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210135828"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sanat Kumar Sahu","raw_affiliation_strings":["Govt. Kaktiya P. G. College, Jagdalpur, India"],"raw_orcid":"https://orcid.org/0000-0002-5686-7119","affiliations":[{"raw_affiliation_string":"Govt. Kaktiya P. G. College, Jagdalpur, India","institution_ids":["https://openalex.org/I4210135828"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101810603"],"corresponding_institution_ids":["https://openalex.org/I3129960170"],"apc_list":null,"apc_paid":null,"fwci":0.5375,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.76975002,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"12","issue":"3","first_page":"35","last_page":"43"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9828000068664551,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9828000068664551,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9401999711990356,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cad","display_name":"CAD","score":0.9000875353813171},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.7755151391029358},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6816648840904236},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.6432745456695557},{"id":"https://openalex.org/keywords/coronary-artery-disease","display_name":"Coronary artery disease","score":0.6165158748626709},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.615160346031189},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5856665968894958},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5663247108459473},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39212244749069214},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.17162355780601501},{"id":"https://openalex.org/keywords/cardiology","display_name":"Cardiology","score":0.15022802352905273},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09910577535629272}],"concepts":[{"id":"https://openalex.org/C194789388","wikidata":"https://www.wikidata.org/wiki/Q17855283","display_name":"CAD","level":2,"score":0.9000875353813171},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7755151391029358},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6816648840904236},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.6432745456695557},{"id":"https://openalex.org/C2778213512","wikidata":"https://www.wikidata.org/wiki/Q844935","display_name":"Coronary artery disease","level":2,"score":0.6165158748626709},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.615160346031189},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5856665968894958},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5663247108459473},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39212244749069214},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.17162355780601501},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.15022802352905273},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09910577535629272},{"id":"https://openalex.org/C199639397","wikidata":"https://www.wikidata.org/wiki/Q1788588","display_name":"Engineering drawing","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.4018/ijaec.2021070103","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijaec.2021070103","pdf_url":null,"source":{"id":"https://openalex.org/S144758376","display_name":"International Journal of Applied Evolutionary Computation","issn_l":"1942-3594","issn":["1942-3594","1942-3608"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Applied Evolutionary Computation","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:igg:jaec00:v:12:y:2021:i:3:p:35-43","is_oa":false,"landing_page_url":"http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJAEC.2021070103","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.8399999737739563}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W2070448096","https://openalex.org/W2123504579","https://openalex.org/W2315451445","https://openalex.org/W2521029800","https://openalex.org/W3013170635","https://openalex.org/W3039534199"],"related_works":["https://openalex.org/W4230876021","https://openalex.org/W3213079724","https://openalex.org/W2076543106","https://openalex.org/W3158157485","https://openalex.org/W2243550366","https://openalex.org/W2019891950","https://openalex.org/W2085842814","https://openalex.org/W4286643620","https://openalex.org/W3000407446","https://openalex.org/W2523437662"],"abstract_inverted_index":{"Coronary":[0],"artery":[1],"disease":[2],"(CAD)":[3],"has":[4],"been":[5,19,141],"the":[6,13,61,91,94,98,145],"leading":[7],"cause":[8],"of":[9,93,108],"death":[10],"worldwide":[11],"over":[12],"past":[14],"10":[15],"years.":[16],"Researchers":[17],"have":[18,139],"using":[20],"several":[21],"data":[22],"mining":[23],"techniques":[24],"to":[25,41],"help":[26],"healthcare":[27],"professionals":[28],"diagnose":[29],"heart":[30],"disease.":[31],"The":[32,47,63,112],"neural":[33,49,68,86],"network":[34,50,69,87],"(NN)":[35],"can":[36],"provide":[37],"an":[38,54],"excellent":[39],"solution":[40],"identify":[42],"and":[43,77,105,122,127,132],"classify":[44],"different":[45],"diseases.":[46],"artificial":[48,85],"(ANN)":[51,88],"methods":[52],"play":[53],"essential":[55],"role":[56],"in":[57,60,120,124,130,134,144],"recognizes":[58],"diseases":[59],"CAD.":[62],"authors":[64],"proposed":[65],"multilayer":[66],"perceptron":[67],"(MLPNN)":[70],"among":[71],"one":[72],"hidden":[73,79],"layer":[74],"neuron":[75],"(MLP)":[76],"four":[78],"layers":[80],"neurons":[81],"(P-MLP)-based":[82],"highly":[83],"accurate":[84],"method":[89],"for":[90],"classification":[92],"CAD":[95],"dataset.":[96],"Therefore,":[97],"ten-fold":[99],"cross-validation":[100],"(T-FCV)":[101],"method,":[102],"P-MLP":[103,113],"algorithms,":[104],"base":[106],"classifiers":[107],"MLP":[109],"were":[110],"employed.":[111],"algorithm":[114],"yielded":[115],"very":[116],"high":[117],"accuracy":[118],"(86.47%":[119],"CAD-56":[121,131],"98.35%":[123],"CAD-59":[125,135],"datasets)":[126,136],"F1-Score":[128],"(90.36%":[129],"98.83%":[133],"rates,":[137],"which":[138],"not":[140],"reported":[142],"simultaneously":[143],"MLP.":[146]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}