{"id":"https://openalex.org/W2811489092","doi":"https://doi.org/10.1109/fskd.2017.8392998","title":"Analysis of medical and healthcare data based on positive and negative association rules","display_name":"Analysis of medical and healthcare data based on positive and negative association rules","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2811489092","doi":"https://doi.org/10.1109/fskd.2017.8392998","mag":"2811489092"},"language":"en","primary_location":{"id":"doi:10.1109/fskd.2017.8392998","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2017.8392998","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)","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/A5101843464","display_name":"Chenlu Li","orcid":"https://orcid.org/0000-0002-4561-970X"},"institutions":[{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chenlu Li","raw_affiliation_strings":["School of Information Qilu University of Technology, Jinan, China"],"affiliations":[{"raw_affiliation_string":"School of Information Qilu University of Technology, Jinan, China","institution_ids":["https://openalex.org/I152269853"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100720956","display_name":"Hao Feng","orcid":"https://orcid.org/0000-0002-9462-3916"},"institutions":[{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Hao","raw_affiliation_strings":["School of Information Qilu University of Technology, Jinan, China"],"affiliations":[{"raw_affiliation_string":"School of Information Qilu University of Technology, Jinan, China","institution_ids":["https://openalex.org/I152269853"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101569955","display_name":"Long Zhao","orcid":"https://orcid.org/0000-0002-7284-0776"},"institutions":[{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Long Zhao","raw_affiliation_strings":["School of Information Qilu University of Technology, Jinan, China"],"affiliations":[{"raw_affiliation_string":"School of Information Qilu University of Technology, Jinan, China","institution_ids":["https://openalex.org/I152269853"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000006378","display_name":"Lizhe Song","orcid":null},"institutions":[{"id":"https://openalex.org/I161222507","display_name":"Open University of China","ror":"https://ror.org/02maxav80","country_code":"CN","type":"education","lineage":["https://openalex.org/I161222507"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lizhe Song","raw_affiliation_strings":["Department of information technology, The Open University of China, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of information technology, The Open University of China, Beijing, China","institution_ids":["https://openalex.org/I161222507"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100748278","display_name":"Xiangjun Dong","orcid":"https://orcid.org/0000-0002-5364-5844"},"institutions":[{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangjun Dong","raw_affiliation_strings":["School of Information Qilu University of Technology, Jinan, China"],"affiliations":[{"raw_affiliation_string":"School of Information Qilu University of Technology, Jinan, China","institution_ids":["https://openalex.org/I152269853"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101843464"],"corresponding_institution_ids":["https://openalex.org/I152269853"],"apc_list":null,"apc_paid":null,"fwci":0.5051,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.78775954,"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":"1559","last_page":"1564"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9991999864578247,"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"}},"topics":[{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9991999864578247,"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/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.987500011920929,"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":0.9513000249862671,"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/health-care","display_name":"Health care","score":0.7187376618385315},{"id":"https://openalex.org/keywords/association-rule-learning","display_name":"Association rule learning","score":0.7125580906867981},{"id":"https://openalex.org/keywords/association","display_name":"Association (psychology)","score":0.5980418920516968},{"id":"https://openalex.org/keywords/medical-prescription","display_name":"Medical prescription","score":0.5816291570663452},{"id":"https://openalex.org/keywords/medical-record","display_name":"Medical record","score":0.5746490955352783},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.40651798248291016},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3986327648162842},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35623449087142944},{"id":"https://openalex.org/keywords/knowledge-management","display_name":"Knowledge management","score":0.33588460087776184},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.3257823586463928},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.2323106825351715},{"id":"https://openalex.org/keywords/nursing","display_name":"Nursing","score":0.15015920996665955},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.09865701198577881}],"concepts":[{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.7187376618385315},{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.7125580906867981},{"id":"https://openalex.org/C142853389","wikidata":"https://www.wikidata.org/wiki/Q744778","display_name":"Association (psychology)","level":2,"score":0.5980418920516968},{"id":"https://openalex.org/C2426938","wikidata":"https://www.wikidata.org/wiki/Q3355478","display_name":"Medical prescription","level":2,"score":0.5816291570663452},{"id":"https://openalex.org/C195910791","wikidata":"https://www.wikidata.org/wiki/Q1324077","display_name":"Medical record","level":2,"score":0.5746490955352783},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.40651798248291016},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3986327648162842},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35623449087142944},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.33588460087776184},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3257823586463928},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.2323106825351715},{"id":"https://openalex.org/C159110408","wikidata":"https://www.wikidata.org/wiki/Q121176","display_name":"Nursing","level":1,"score":0.15015920996665955},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.09865701198577881},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fskd.2017.8392998","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2017.8392998","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6000000238418579,"display_name":"No poverty","id":"https://metadata.un.org/sdg/1"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1728574210","https://openalex.org/W2009167374","https://openalex.org/W2037965136","https://openalex.org/W2044306058","https://openalex.org/W2128442162","https://openalex.org/W2133762399","https://openalex.org/W2140190241","https://openalex.org/W2163487803","https://openalex.org/W2295079358","https://openalex.org/W2357208692","https://openalex.org/W2381181260","https://openalex.org/W2383211403","https://openalex.org/W4253336088","https://openalex.org/W6600025118"],"related_works":["https://openalex.org/W2361820086","https://openalex.org/W4388487825","https://openalex.org/W2368224867","https://openalex.org/W3029903131","https://openalex.org/W3111030087","https://openalex.org/W2341334583","https://openalex.org/W2751920613","https://openalex.org/W2415164632","https://openalex.org/W2392697706","https://openalex.org/W366033468"],"abstract_inverted_index":{"Researchers":[0],"pointed":[1],"out":[2],"that":[3],"the":[4,25,31,34,82,94,99,123,187,215,238,255],"integrated":[5],"health":[6,17,149],"care":[7,18],"system":[8],"has":[9,139],"gradually":[10],"become":[11],"an":[12],"important":[13,289],"part":[14],"of":[15,33,46,96,240],"modern":[16],"information":[19,27,276],"system.":[20],"This":[21],"is":[22,51,59],"similar":[23],"to":[24,63,89,191,196,236],"enterprise":[26],"system,":[28],"mainly":[29],"for":[30,277,292],"needs":[32],"medical":[35,39,100,107,128,198,216,226,259,293],"industry":[36],"sector.":[37],"The":[38,210,282],"and":[40,65,67,73,85,101,109,118,131,199,206,217,234,254,260,271,273,279,294,297,306],"healthcare":[41,102,200,218,295],"data":[42,97,103,201,219],"contains":[43],"a":[44,168,222,241],"lot":[45],"rich":[47],"information,":[48,113,250],"yet":[49],"it":[50],"generally":[52],"considered":[53],"as":[54,229,252],"being":[55],"poor.":[56],"However,":[57],"there":[58],"no":[60],"effective":[61],"way":[62],"analyze":[64,197],"model,":[66],"you":[68],"can":[69,247,287],"draw":[70],"hidden":[71],"relationships":[72],"patterns":[74],"from":[75,203,221],"these":[76],"information.":[77],"Data":[78],"mining":[79,126,138],"technology":[80],"in":[81,98,127,143],"commercial,":[83],"scientific":[84],"other":[86],"fields":[87],"applied":[88],"many":[90],"practical":[91],"applications.":[92],"Thus,":[93],"importance":[95],"(human":[104],"genetic":[105],"code,":[106],"records":[108,233],"prescriptions,":[110],"hospital":[111],"management":[112],"pathogenic":[114],"factors,":[115],"etc.)":[116],"more":[117,119,130,132,184],"attentions":[120],"which":[121],"makes":[122],"association":[124,136,158,179,208,264,283],"rules":[125,137,180,265,284],"applications":[129,154],"widely.":[133],"To":[134],"date,":[135],"been":[140],"widely":[141],"used":[142],"people's":[144],"social":[145,280],"life,":[146],"including":[147],"transportation,":[148],"care,":[150],"education,":[151],"etc.":[152],"most":[153],"focus":[155],"on":[156,214],"positive":[157,188,205],"rules,":[159],"neglecting":[160],"negative":[161,178,207],"effects":[162],"among":[163,268],"various":[164],"diagnosis":[165,305],"processes":[166],"(e.g.":[167],"specific":[169],"symptom":[170],"wo't":[171],"occur":[172],"when":[173],"some":[174,244],"symptoms":[175],"occur).":[176],"Hence,":[177],"are":[181],"sometimes":[182],"much":[183],"informative":[185],"than":[186],"ones.":[189],"Due":[190],"that,":[192],"this":[193],"paper":[194],"aims":[195],"comprehensively":[202],"both":[204],"rules.":[209],"analysis":[211],"was":[212],"performed":[213],"collected":[220],"Person's":[223],"Hospital.":[224],"Using":[225],"profiles":[227],"such":[228,251],"age,":[230],"sex,":[231],"medication":[232],"disease":[235,304,307],"predict":[237],"possibility":[239],"patient":[242],"or":[243],"disease.":[245],"It":[246],"be":[248],"significant":[249,275],"patterns,":[253],"relationship":[256],"between":[257],"disease-related":[258],"physiological":[261],"indicators.":[262],"These":[263],"build":[266],"bridges":[267],"different":[269],"diseases":[270],"medicines":[272],"provide":[274,288],"doctors":[278],"organizations.":[281],"we":[285],"found":[286],"reference":[290],"value":[291],"research":[296],"development,":[298],"like":[299],"potential":[300],"complications,":[301],"preventive":[302],"medicine,":[303],"prevention.":[308]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2025-10-10T00:00:00"}
