{"id":"https://openalex.org/W3016763055","doi":"https://doi.org/10.1108/ijicc-10-2019-0112","title":"An efficient Bayesian network for differential diagnosis using experts' knowledge","display_name":"An efficient Bayesian network for differential diagnosis using experts' knowledge","publication_year":2020,"publication_date":"2020-03-09","ids":{"openalex":"https://openalex.org/W3016763055","doi":"https://doi.org/10.1108/ijicc-10-2019-0112","mag":"3016763055"},"language":"en","primary_location":{"id":"doi:10.1108/ijicc-10-2019-0112","is_oa":false,"landing_page_url":"https://doi.org/10.1108/ijicc-10-2019-0112","pdf_url":null,"source":{"id":"https://openalex.org/S124503262","display_name":"International Journal of Intelligent Computing and Cybernetics","issn_l":"1756-378X","issn":["1756-378X","1756-3798"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Intelligent Computing and Cybernetics","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/A5054776628","display_name":"Mohammad Mahdi Ershadi","orcid":"https://orcid.org/0000-0002-7409-6469"},"institutions":[{"id":"https://openalex.org/I158248296","display_name":"Amirkabir University of Technology","ror":"https://ror.org/04gzbav43","country_code":"IR","type":"education","lineage":["https://openalex.org/I158248296"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Mohammad Mahdi Ershadi","raw_affiliation_strings":["Department of Industrial Engineering and Management Systems, Amirkabir University of Technology, Tehran, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering and Management Systems, Amirkabir University of Technology, Tehran, Iran","institution_ids":["https://openalex.org/I158248296"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084024707","display_name":"Abbas Seifi","orcid":"https://orcid.org/0000-0003-2549-2200"},"institutions":[{"id":"https://openalex.org/I158248296","display_name":"Amirkabir University of Technology","ror":"https://ror.org/04gzbav43","country_code":"IR","type":"education","lineage":["https://openalex.org/I158248296"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Abbas Seifi","raw_affiliation_strings":["Department of Industrial Engineering and Management Systems, Amirkabir University of Technology, Tehran, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering and Management Systems, Amirkabir University of Technology, Tehran, Iran","institution_ids":["https://openalex.org/I158248296"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.0312,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.89368259,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"13","issue":"1","first_page":"103","last_page":"126"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.995199978351593,"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"}},"topics":[{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.995199978351593,"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/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9923999905586243,"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":0.9782000184059143,"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":0.7886642813682556},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.6479461193084717},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.619503378868103},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.597054123878479},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5689346194267273},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.523759126663208},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5093692541122437},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.44039663672447205},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.41305121779441833},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.20564091205596924}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7886642813682556},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.6479461193084717},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.619503378868103},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.597054123878479},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5689346194267273},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.523759126663208},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5093692541122437},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.44039663672447205},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.41305121779441833},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.20564091205596924},{"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:10.1108/ijicc-10-2019-0112","is_oa":false,"landing_page_url":"https://doi.org/10.1108/ijicc-10-2019-0112","pdf_url":null,"source":{"id":"https://openalex.org/S124503262","display_name":"International Journal of Intelligent Computing and Cybernetics","issn_l":"1756-378X","issn":["1756-378X","1756-3798"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Intelligent Computing and Cybernetics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":60,"referenced_works":["https://openalex.org/W309042733","https://openalex.org/W359807119","https://openalex.org/W1537107247","https://openalex.org/W1628689379","https://openalex.org/W1669853692","https://openalex.org/W1794113545","https://openalex.org/W1861122615","https://openalex.org/W1970292777","https://openalex.org/W1970902974","https://openalex.org/W1976331960","https://openalex.org/W1985902220","https://openalex.org/W1994454334","https://openalex.org/W1996089190","https://openalex.org/W1998169483","https://openalex.org/W2003517299","https://openalex.org/W2008906462","https://openalex.org/W2014098003","https://openalex.org/W2018989348","https://openalex.org/W2022306762","https://openalex.org/W2026537169","https://openalex.org/W2034607334","https://openalex.org/W2040845509","https://openalex.org/W2063858660","https://openalex.org/W2066891364","https://openalex.org/W2070029991","https://openalex.org/W2071399079","https://openalex.org/W2072063551","https://openalex.org/W2089655050","https://openalex.org/W2089758047","https://openalex.org/W2093120878","https://openalex.org/W2095441995","https://openalex.org/W2097599147","https://openalex.org/W2101595998","https://openalex.org/W2104787607","https://openalex.org/W2106189378","https://openalex.org/W2118307547","https://openalex.org/W2131148034","https://openalex.org/W2132353904","https://openalex.org/W2138766128","https://openalex.org/W2160164546","https://openalex.org/W2163779080","https://openalex.org/W2165871292","https://openalex.org/W2169152096","https://openalex.org/W2207247573","https://openalex.org/W2229409572","https://openalex.org/W2289299143","https://openalex.org/W2319721487","https://openalex.org/W2479061539","https://openalex.org/W2479132886","https://openalex.org/W2522681375","https://openalex.org/W2529380868","https://openalex.org/W2591214870","https://openalex.org/W2593330790","https://openalex.org/W2605026288","https://openalex.org/W2617858944","https://openalex.org/W2727482120","https://openalex.org/W2884771772","https://openalex.org/W2893355948","https://openalex.org/W4236354166","https://openalex.org/W4405139752"],"related_works":["https://openalex.org/W2394466068","https://openalex.org/W1987683558","https://openalex.org/W2804364458","https://openalex.org/W2726838704","https://openalex.org/W4298130764","https://openalex.org/W2132641928","https://openalex.org/W4310225030","https://openalex.org/W2090259340","https://openalex.org/W2083665254","https://openalex.org/W2393816671"],"abstract_inverted_index":{"Purpose":[0],"This":[1,187],"study":[2,188],"aims":[3],"to":[4,13,45,69,180],"differential":[5,59,183],"diagnosis":[6,60,184,197],"of":[7,53,61,76,94,100,115,118,134,153,162,192],"some":[8,34,40],"diseases":[9,103,218],"using":[10,81],"classification":[11,22,54,136,170],"methods":[12,23,42,55,137],"support":[14],"effective":[15,86],"medical":[16],"treatment.":[17],"For":[18],"this":[19,140],"purpose,":[20],"different":[21,62,102,217],"based":[24,144,210],"on":[25,145,211],"data,":[26],"experts\u2019":[27],"knowledge":[28,66,83,147,194,213],"and":[29,39,132],"both":[30,128],"are":[31,43,56,104],"considered":[32],"in":[33,139,195],"cases.":[35],"Besides,":[36,206],"feature":[37],"reduction":[38],"clustering":[41],"used":[44,105,138],"improve":[46],"their":[47],"performance.":[48],"Design/methodology/approach":[49],"First,":[50],"the":[51,71,77,92,110,116,129,135,165,190,196,207],"performances":[52],"evaluated":[57],"for":[58,90,106,204,216],"diseases.":[63],"Then,":[64],"experts'":[65,82,146,193,212],"is":[67,84,214],"utilized":[68],"modify":[70],"Bayesian":[72,95,142,208],"networks'":[73],"structures.":[74],"Analyses":[75],"results":[78],"show":[79],"that":[80],"more":[85],"than":[87],"other":[88],"algorithms":[89],"increasing":[91],"accuracy":[93,133,152],"network":[96,209],"classification.":[97],"A":[98],"total":[99],"ten":[101],"testing,":[107],"taken":[108],"from":[109],"Machine":[111],"Learning":[112],"Repository":[113],"datasets":[114,167],"University":[117],"California":[119],"at":[120],"Irvine":[121],"(UCI).":[122],"Findings":[123],"The":[124,174],"proposed":[125,175],"method":[126,203],"improves":[127],"computation":[130],"time":[131],"paper.":[141],"networks":[143],"achieve":[148],"a":[149,157],"maximum":[150],"average":[151,161],"87":[154],"percent,":[155],"with":[156],"minimum":[158],"standard":[159],"deviation":[160],"0.04":[163],"over":[164],"sample":[166],"among":[168],"all":[169],"methods.":[171],"Practical":[172],"implications":[173],"methodology":[176],"can":[177],"be":[178],"applied":[179],"perform":[181],"disease":[182],"analysis.":[185],"Originality/value":[186],"presents":[189],"usefulness":[191],"while":[198],"proposing":[199],"an":[200],"adopted":[201],"improvement":[202],"classifications.":[205],"useful":[215],"neglected":[219],"by":[220],"previous":[221],"papers.":[222]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}