{"id":"https://openalex.org/W2941720143","doi":"https://doi.org/10.1093/comjnl/bxz034","title":"A Two-Step Knowledge Extraction Framework for Improving Disease Diagnosis","display_name":"A Two-Step Knowledge Extraction Framework for Improving Disease Diagnosis","publication_year":2019,"publication_date":"2019-03-18","ids":{"openalex":"https://openalex.org/W2941720143","doi":"https://doi.org/10.1093/comjnl/bxz034","mag":"2941720143"},"language":"en","primary_location":{"id":"doi:10.1093/comjnl/bxz034","is_oa":false,"landing_page_url":"https://doi.org/10.1093/comjnl/bxz034","pdf_url":null,"source":{"id":"https://openalex.org/S44643521","display_name":"The Computer Journal","issn_l":"0010-4620","issn":["0010-4620","1460-2067"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Computer Journal","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/A5103117980","display_name":"Bikash Kanti Sarkar","orcid":"https://orcid.org/0000-0002-3677-2649"},"institutions":[{"id":"https://openalex.org/I115715567","display_name":"Birla Institute of Technology, Mesra","ror":"https://ror.org/028vtqb15","country_code":"IN","type":"education","lineage":["https://openalex.org/I115715567"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Bikash Kanti Sarkar","raw_affiliation_strings":["Department of Computer Science and Engineering, Birla Institute of Technology, Mesra, Ranchi, India"],"raw_orcid":"https://orcid.org/0000-0002-3677-2649","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Birla Institute of Technology, Mesra, Ranchi, India","institution_ids":["https://openalex.org/I115715567"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5103117980"],"corresponding_institution_ids":["https://openalex.org/I115715567"],"apc_list":{"value":2635,"currency":"GBP","value_usd":3232},"apc_paid":null,"fwci":0.9544,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.82835992,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"63","issue":"3","first_page":"364","last_page":"382"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9955000281333923,"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":0.9955000281333923,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9926999807357788,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9807999730110168,"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/computer-science","display_name":"Computer science","score":0.779437780380249},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6576634049415588},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.644108772277832},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6364802122116089},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6192134022712708},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.5168343186378479},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.5101861953735352},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4606476128101349},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.44768407940864563},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4476168751716614},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3851061165332794}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.779437780380249},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6576634049415588},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.644108772277832},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6364802122116089},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6192134022712708},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.5168343186378479},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.5101861953735352},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4606476128101349},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.44768407940864563},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4476168751716614},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3851061165332794},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1093/comjnl/bxz034","is_oa":false,"landing_page_url":"https://doi.org/10.1093/comjnl/bxz034","pdf_url":null,"source":{"id":"https://openalex.org/S44643521","display_name":"The Computer Journal","issn_l":"0010-4620","issn":["0010-4620","1460-2067"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Computer Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.47999998927116394,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":66,"referenced_works":["https://openalex.org/W77729177","https://openalex.org/W574004345","https://openalex.org/W1565746575","https://openalex.org/W1570448133","https://openalex.org/W1591695423","https://openalex.org/W1967689665","https://openalex.org/W1974183452","https://openalex.org/W1977916156","https://openalex.org/W1978515644","https://openalex.org/W1983156475","https://openalex.org/W1985842955","https://openalex.org/W1989373239","https://openalex.org/W1991426267","https://openalex.org/W2001812280","https://openalex.org/W2004288989","https://openalex.org/W2010347842","https://openalex.org/W2012223569","https://openalex.org/W2028973107","https://openalex.org/W2031242907","https://openalex.org/W2033327021","https://openalex.org/W2034729137","https://openalex.org/W2053859819","https://openalex.org/W2059283642","https://openalex.org/W2059459859","https://openalex.org/W2064675550","https://openalex.org/W2069321575","https://openalex.org/W2069340802","https://openalex.org/W2073050230","https://openalex.org/W2073513898","https://openalex.org/W2074101794","https://openalex.org/W2076134358","https://openalex.org/W2084134149","https://openalex.org/W2087652630","https://openalex.org/W2088249484","https://openalex.org/W2089137303","https://openalex.org/W2115441252","https://openalex.org/W2119821739","https://openalex.org/W2122436376","https://openalex.org/W2125055259","https://openalex.org/W2126499181","https://openalex.org/W2128552148","https://openalex.org/W2133218851","https://openalex.org/W2136000097","https://openalex.org/W2141526469","https://openalex.org/W2147169507","https://openalex.org/W2203652656","https://openalex.org/W2322213976","https://openalex.org/W2493932607","https://openalex.org/W2521521467","https://openalex.org/W2541815448","https://openalex.org/W2586297068","https://openalex.org/W2611743072","https://openalex.org/W3017143921","https://openalex.org/W4210774122","https://openalex.org/W4234760406","https://openalex.org/W4239510810","https://openalex.org/W4243543335","https://openalex.org/W4244238212","https://openalex.org/W4250259632","https://openalex.org/W4255833381","https://openalex.org/W6603134760","https://openalex.org/W6633774736","https://openalex.org/W6657566310","https://openalex.org/W6658053133","https://openalex.org/W6700539682","https://openalex.org/W6939231122"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W2745001401","https://openalex.org/W4321353415","https://openalex.org/W2130974462","https://openalex.org/W972276598","https://openalex.org/W4246352526","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W1566212037","https://openalex.org/W4224922629"],"abstract_inverted_index":{"Abstract":[0],"In":[1],"the":[2,11,37,56,108,115,130,133,137,164,183],"last":[3],"decades,":[4],"various":[5],"methodologies":[6],"have":[7],"been":[8],"proposed":[9],"by":[10,49],"researchers":[12],"for":[13,59,204],"developing":[14],"effective":[15,60,177],"disease":[16],"diagnosis":[17,61],"support":[18,95],"systems":[19],"(DDSSs).":[20],"The":[21,64,158],"present":[22],"research":[23],"proposes":[24],"a":[25,41,173],"two-step":[26],"framework":[27],"in":[28,36,55,178,199],"which":[29],"an":[30],"entropy-based":[31],"feature-selection":[32,66,170],"approach":[33],"is":[34,53,68,139,172,187],"introduced":[35],"first":[38],"step":[39,58],"and":[40,94,107,126,152,154,176],"rule-base":[42],"hybrid":[43,134,165],"model":[44,135,166,175,184],"using":[45,70],"Perfect":[46],"Rule":[47],"Induction":[48],"Sequential":[50],"Method":[51],"(PRISM)":[52],"explored":[54],"subsequent":[57],"of":[62,111,117,132,169],"diseases.":[63,180],"suggested":[65],"technique":[67],"validated":[69],"five":[71],"state-of-the-art":[72],"classifiers":[73],"namely":[74,150],"C4.5":[75,151],"(a":[76],"decision":[77],"tree-based":[78],"classifier),":[79],"na\u00efve":[80],"Bayes":[81],"(NB),":[82],"Repeated":[83],"Incremental":[84],"Pruning":[85],"to":[86,189,195],"Produce":[87],"Error":[88],"Reduction":[89],"(RIPPER),":[90],"neural":[91],"network":[92],"(NN)":[93],"vector":[96],"machine":[97],"(SVM)":[98],"over":[99,136],"fourteen":[100],"benchmark":[101],"diseases":[102],"that":[103,163],"are":[104],"very":[105],"common":[106],"leading":[109],"causes":[110],"deaths.":[112],"Next,":[113],"on":[114],"basis":[116],"top":[118],"three":[119],"performance":[120,131],"metrics,":[121],"viz.,":[122],"prediction":[123],"accuracy,":[124],"sensitivity":[125],"false":[127],"positive":[128],"rate,":[129],"datasets":[138],"compared":[140],"with":[141,167],"its":[142,197],"base":[143],"learner:":[144],"PRISM,":[145],"two":[146],"other":[147],"competent":[148],"learners":[149],"NN,":[153],"some":[155],"specialized":[156],"models.":[157],"empirical":[159],"outcomes":[160],"positively":[161],"demonstrate":[162],"application":[168],"method":[171],"generic":[174],"diagnosing":[179],"More":[181],"importantly,":[182],"not":[185],"only":[186],"able":[188],"produce":[190],"good":[191],"results":[192],"but":[193],"also":[194],"elucidate":[196],"knowledge":[198],"understandable:":[200],"IF-THEN":[201],"form":[202],"(convenient":[203],"medical":[205],"practitioners).":[206]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}