{"id":"https://openalex.org/W2179821241","doi":"https://doi.org/10.1109/fuzz-ieee.2015.7338075","title":"Inductive learning based on rough set theory for medical decision making","display_name":"Inductive learning based on rough set theory for medical decision making","publication_year":2015,"publication_date":"2015-08-01","ids":{"openalex":"https://openalex.org/W2179821241","doi":"https://doi.org/10.1109/fuzz-ieee.2015.7338075","mag":"2179821241"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz-ieee.2015.7338075","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2015.7338075","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","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/A5034196986","display_name":"Ahmad Taher Azar","orcid":"https://orcid.org/0000-0002-7869-6373"},"institutions":[{"id":"https://openalex.org/I207547235","display_name":"Benha University","ror":"https://ror.org/03tn5ee41","country_code":"EG","type":"education","lineage":["https://openalex.org/I207547235"]}],"countries":["EG"],"is_corresponding":true,"raw_author_name":"Ahmad Taher Azar","raw_affiliation_strings":["Faculty of Computers and Information, Benha University, Egypt"],"affiliations":[{"raw_affiliation_string":"Faculty of Computers and Information, Benha University, Egypt","institution_ids":["https://openalex.org/I207547235"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041401460","display_name":"Nidhal Bouaynaya","orcid":"https://orcid.org/0000-0002-8833-8414"},"institutions":[{"id":"https://openalex.org/I44265643","display_name":"Rowan University","ror":"https://ror.org/049v69k10","country_code":"US","type":"education","lineage":["https://openalex.org/I44265643"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nidhal Bouaynaya","raw_affiliation_strings":["Electrical and Computer Engineering, Rowan University, Glassboro, NJ, U.S.A"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering, Rowan University, Glassboro, NJ, U.S.A","institution_ids":["https://openalex.org/I44265643"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025314990","display_name":"Robi Polikar","orcid":"https://orcid.org/0000-0002-2739-4228"},"institutions":[{"id":"https://openalex.org/I44265643","display_name":"Rowan University","ror":"https://ror.org/049v69k10","country_code":"US","type":"education","lineage":["https://openalex.org/I44265643"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Robi Polikar","raw_affiliation_strings":["Electrical and Computer Engineering, Rowan University, Glassboro, NJ, U.S.A"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering, Rowan University, Glassboro, NJ, U.S.A","institution_ids":["https://openalex.org/I44265643"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5034196986"],"corresponding_institution_ids":["https://openalex.org/I207547235"],"apc_list":null,"apc_paid":null,"fwci":1.7526,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.85801371,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"72","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9671000242233276,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T14351","display_name":"Statistical and Computational Modeling","score":0.9599000215530396,"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/rough-set","display_name":"Rough set","score":0.6994932293891907},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6611310839653015},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4874904155731201},{"id":"https://openalex.org/keywords/set-theory","display_name":"Set theory","score":0.4869033396244049},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.44651851058006287},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38937103748321533}],"concepts":[{"id":"https://openalex.org/C111012933","wikidata":"https://www.wikidata.org/wiki/Q3137210","display_name":"Rough set","level":2,"score":0.6994932293891907},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6611310839653015},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4874904155731201},{"id":"https://openalex.org/C153046414","wikidata":"https://www.wikidata.org/wiki/Q12482","display_name":"Set theory","level":3,"score":0.4869033396244049},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.44651851058006287},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38937103748321533},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fuzz-ieee.2015.7338075","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2015.7338075","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8199999928474426,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W27956553","https://openalex.org/W167589803","https://openalex.org/W1516384273","https://openalex.org/W1553939018","https://openalex.org/W1557923305","https://openalex.org/W1587142208","https://openalex.org/W1963626514","https://openalex.org/W1971687147","https://openalex.org/W1976577386","https://openalex.org/W1979697961","https://openalex.org/W1982067074","https://openalex.org/W1982921958","https://openalex.org/W1984663816","https://openalex.org/W1986703974","https://openalex.org/W1993369399","https://openalex.org/W1993572674","https://openalex.org/W1997244862","https://openalex.org/W1997687853","https://openalex.org/W1999662701","https://openalex.org/W2011487750","https://openalex.org/W2013538923","https://openalex.org/W2015071685","https://openalex.org/W2023943573","https://openalex.org/W2050871209","https://openalex.org/W2056807896","https://openalex.org/W2064824005","https://openalex.org/W2074005500","https://openalex.org/W2076542102","https://openalex.org/W2086885439","https://openalex.org/W2087264237","https://openalex.org/W2088171863","https://openalex.org/W2093509762","https://openalex.org/W2101671026","https://openalex.org/W2125301736","https://openalex.org/W2138013256","https://openalex.org/W2326053363","https://openalex.org/W2567787735","https://openalex.org/W4255833381","https://openalex.org/W6601153562","https://openalex.org/W6606820607","https://openalex.org/W6630934967","https://openalex.org/W6633312256","https://openalex.org/W6633510849","https://openalex.org/W6723081616","https://openalex.org/W6731435812"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347","https://openalex.org/W4210805261"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"an":[3,160],"algorithm":[4,144,226],"that":[5,36,73,88,107,141],"uses":[6],"inductive":[7],"learning":[8],"and":[9,33,40,81,151,169,181],"rough":[10],"set":[11,55,106,132,191,210],"theory":[12],"(ILRS)":[13],"to":[14,95,147,178],"analyze":[15],"the":[16,53,70,89,97,110,118,123,142,183,220,223,230],"clinical":[17,44,218],"data":[18,197,231],"available":[19,98],"in":[20],"a":[21,61,79,103,130,156,189,209],"patient":[22,27],"file":[23,28],"(records).":[24],"A":[25,200],"typical":[26],"has":[29],"unstructured":[30],"(both":[31],"descriptive":[32],"quantitative)":[34],"information":[35,111,162],"is":[37,93,145,206,227],"also":[38,115],"uncertain":[39,150],"sometimes":[41],"incomplete.":[42],"Successful":[43],"treatments":[45],"depend":[46],"on":[47,129],"correct":[48,54],"medical":[49],"diagnosis":[50],"which":[51],"determines":[52],"of":[56,84,100,120,122,133,159,167,192,211,217,222,229],"variables":[57],"or":[58,126,136],"features":[59,101,135],"causing":[60],"certain":[62],"pathology.":[63],"Clinical":[64],"applications":[65,72],"are":[66],"by":[67],"no":[68],"means":[69],"only":[71],"require":[74],"decision-making":[75],"with":[76,149,198,203],"reasoning":[77],"from":[78,195],"large":[80],"incomplete":[82,152,161],"amount":[83],"information.":[85,153],"We":[86,113,154,173],"show":[87,140,174],"proposed":[90,143,224],"ILRS":[91,176,225],"technique":[92],"able":[94,146],"reduce":[96],"number":[99],"into":[102],"smaller":[104],"core":[105],"precisely":[108],"describes":[109],"system.":[112],"can":[114],"quantitatively":[116],"evaluate":[117],"level":[119],"dependence":[121],"considered":[124],"pathology,":[125],"decision":[127,193,212],"feature,":[128],"given":[131,190],"condition":[134,186],"attributes.":[137],"Moreover,":[138],"we":[139],"cope":[148],"consider":[155],"case":[157],"study":[158],"system":[163],"obtained":[164],"during":[165],"cannulation":[166],"radial":[168],"dorsalis":[170],"pelis":[171],"arteries.":[172],"how":[175],"succeeds":[177],"remove":[179],"redundancy":[180],"determine":[182],"most":[184],"significant":[185],"attributes":[187,194],"for":[188],"contaminated":[196],"uncertainty.":[199],"multi-class":[201],"classification":[202],"preference":[204],"relations":[205],"presented":[207],"through":[208],"rules.":[213],"Unlike":[214],"statistical":[215],"analysis":[216],"data,":[219],"reliability":[221],"independent":[228],"size.":[232]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
