{"id":"https://openalex.org/W2888290875","doi":"https://doi.org/10.1109/aike.2018.00013","title":"Adaptive Structural Learning of Deep Belief Network for Medical Examination Data and Its Knowledge Extraction by Using C4.5","display_name":"Adaptive Structural Learning of Deep Belief Network for Medical Examination Data and Its Knowledge Extraction by Using C4.5","publication_year":2018,"publication_date":"2018-09-01","ids":{"openalex":"https://openalex.org/W2888290875","doi":"https://doi.org/10.1109/aike.2018.00013","mag":"2888290875"},"language":"en","primary_location":{"id":"doi:10.1109/aike.2018.00013","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aike.2018.00013","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE First International Conference on Artificial Intelligence and Knowledge Engineering (AIKE)","raw_type":"proceedings-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/A5059614065","display_name":"Shin Kamada","orcid":"https://orcid.org/0000-0002-1250-4092"},"institutions":[{"id":"https://openalex.org/I57930482","display_name":"Hiroshima City University","ror":"https://ror.org/001et4e78","country_code":"JP","type":"education","lineage":["https://openalex.org/I57930482"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Shin Kamada","raw_affiliation_strings":["Graduate School of Information Sciences, Hiroshima City University, Hiroshima, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Information Sciences, Hiroshima City University, Hiroshima, Japan","institution_ids":["https://openalex.org/I57930482"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103117760","display_name":"Takumi Ichimura","orcid":"https://orcid.org/0000-0003-0518-0269"},"institutions":[{"id":"https://openalex.org/I122146667","display_name":"Prefectural University of Hiroshima","ror":"https://ror.org/0059h1f24","country_code":"JP","type":"education","lineage":["https://openalex.org/I122146667"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takumi Ichimura","raw_affiliation_strings":["Faculty of Management and Information Systems, Prefectural University of Hiroshima, Hiroshima, Japan"],"affiliations":[{"raw_affiliation_string":"Faculty of Management and Information Systems, Prefectural University of Hiroshima, Hiroshima, Japan","institution_ids":["https://openalex.org/I122146667"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101474016","display_name":"Toshihide Harada","orcid":"https://orcid.org/0000-0002-4444-0329"},"institutions":[{"id":"https://openalex.org/I122146667","display_name":"Prefectural University of Hiroshima","ror":"https://ror.org/0059h1f24","country_code":"JP","type":"education","lineage":["https://openalex.org/I122146667"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Toshihide Harada","raw_affiliation_strings":["Faculty of Health and Welfare, Prefectural University of Hiroshima, Hiroshima, Japan"],"affiliations":[{"raw_affiliation_string":"Faculty of Health and Welfare, Prefectural University of Hiroshima, Hiroshima, Japan","institution_ids":["https://openalex.org/I122146667"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5059614065"],"corresponding_institution_ids":["https://openalex.org/I57930482"],"apc_list":null,"apc_paid":null,"fwci":0.3191,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.62513205,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"33","last_page":"40"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10320","display_name":"Neural Networks and Applications","score":0.9955000281333923,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9937000274658203,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/deep-belief-network","display_name":"Deep belief network","score":0.9270694851875305},{"id":"https://openalex.org/keywords/restricted-boltzmann-machine","display_name":"Restricted Boltzmann machine","score":0.8011712431907654},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7709388732910156},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7540198564529419},{"id":"https://openalex.org/keywords/boltzmann-machine","display_name":"Boltzmann machine","score":0.651211678981781},{"id":"https://openalex.org/keywords/extension","display_name":"Extension (predicate logic)","score":0.6040194034576416},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5877238512039185},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5494756102561951},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.5229407548904419},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.4882948398590088},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.46807727217674255},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4663696885108948},{"id":"https://openalex.org/keywords/test-data","display_name":"Test data","score":0.444879412651062},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.43778103590011597},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3078036606311798}],"concepts":[{"id":"https://openalex.org/C97385483","wikidata":"https://www.wikidata.org/wiki/Q16954980","display_name":"Deep belief network","level":3,"score":0.9270694851875305},{"id":"https://openalex.org/C199354608","wikidata":"https://www.wikidata.org/wiki/Q7316287","display_name":"Restricted Boltzmann machine","level":3,"score":0.8011712431907654},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7709388732910156},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7540198564529419},{"id":"https://openalex.org/C192576344","wikidata":"https://www.wikidata.org/wiki/Q194706","display_name":"Boltzmann machine","level":3,"score":0.651211678981781},{"id":"https://openalex.org/C2778029271","wikidata":"https://www.wikidata.org/wiki/Q5421931","display_name":"Extension (predicate logic)","level":2,"score":0.6040194034576416},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5877238512039185},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5494756102561951},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.5229407548904419},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.4882948398590088},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.46807727217674255},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4663696885108948},{"id":"https://openalex.org/C16910744","wikidata":"https://www.wikidata.org/wiki/Q7705759","display_name":"Test data","level":2,"score":0.444879412651062},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.43778103590011597},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3078036606311798},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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:10.1109/aike.2018.00013","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aike.2018.00013","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE First International Conference on Artificial Intelligence and Knowledge Engineering (AIKE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W44815768","https://openalex.org/W359062226","https://openalex.org/W1686810756","https://openalex.org/W1833977909","https://openalex.org/W2090190576","https://openalex.org/W2097117768","https://openalex.org/W2112796928","https://openalex.org/W2116064496","https://openalex.org/W2117539524","https://openalex.org/W2120480077","https://openalex.org/W2130314481","https://openalex.org/W2136922672","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2526882078","https://openalex.org/W2568841331","https://openalex.org/W2586619543","https://openalex.org/W2771747743","https://openalex.org/W2884833515","https://openalex.org/W2949412344","https://openalex.org/W2950081799","https://openalex.org/W3105326730","https://openalex.org/W3105381182","https://openalex.org/W3105728422","https://openalex.org/W3118608800","https://openalex.org/W3126531085","https://openalex.org/W4231109964","https://openalex.org/W4255449763","https://openalex.org/W6637373629","https://openalex.org/W6679465079","https://openalex.org/W6728509749","https://openalex.org/W6753807748"],"related_works":["https://openalex.org/W2064630666","https://openalex.org/W3121598771","https://openalex.org/W2287713958","https://openalex.org/W3010338767","https://openalex.org/W2513801676","https://openalex.org/W2916681395","https://openalex.org/W1257380361","https://openalex.org/W2133034788","https://openalex.org/W2892911634","https://openalex.org/W3005559199"],"abstract_inverted_index":{"Deep":[0,21],"Learning":[1],"has":[2,25],"a":[3,43,54],"hierarchical":[4],"network":[5,126],"architecture":[6],"to":[7,78,112,138],"represent":[8],"the":[9,61,64,69,79,85,103,107,113,123,133,144],"complicated":[10],"feature":[11],"of":[12,20,35,63,74,135],"input":[13,40,116],"patterns.":[14],"The":[15,28,88],"adaptive":[16,71],"structural":[17,72],"learning":[18,73],"method":[19,29],"Belief":[22],"Network":[23],"(DBN)":[24],"been":[26],"developed.":[27],"can":[30],"discover":[31],"an":[32,140],"optimal":[33],"number":[34],"hidden":[36,56],"neurons":[37],"for":[38,84,96,100],"given":[39],"data":[41,83],"in":[42,58,132,149],"Restricted":[44],"Boltzmann":[45],"Machine":[46],"(RBM)":[47],"by":[48,60,127],"neuron":[49],"generation-annihilation":[50],"algorithm,":[51],"and":[52,98,117],"generate":[53],"new":[55],"layer":[57],"DBN":[59,75,125],"extension":[62],"algorithm.":[65],"In":[66],"this":[67,150],"paper,":[68],"proposed":[70],"was":[76,120],"applied":[77],"comprehensive":[80],"medical":[81],"examination":[82],"cancer":[86,142],"prediction.":[87],"prediction":[89],"system":[90],"shows":[91],"higher":[92],"classification":[93],"accuracy":[94],"(99.8%":[95],"training":[97],"95.5%":[99],"test)":[101],"than":[102],"traditional":[104],"DBN.":[105],"Moreover,":[106],"explicit":[108],"knowledge":[109],"with":[110],"respect":[111],"relation":[114],"between":[115],"output":[118],"patterns":[119],"extracted":[121,131],"from":[122],"trained":[124],"C4.5.":[128],"Some":[129],"characteristics":[130],"form":[134],"IF-THEN":[136],"rules":[137],"find":[139],"initial":[141],"at":[143],"early":[145],"stage":[146],"were":[147],"reported":[148],"paper.":[151]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2025-10-10T00:00:00"}
