{"id":"https://openalex.org/W2178678769","doi":"https://doi.org/10.1109/pacrim.2015.7334872","title":"A Disease Inference Scheme based on Fuzzy Logic for Patient's-customized Healthcare","display_name":"A Disease Inference Scheme based on Fuzzy Logic for Patient's-customized Healthcare","publication_year":2015,"publication_date":"2015-08-01","ids":{"openalex":"https://openalex.org/W2178678769","doi":"https://doi.org/10.1109/pacrim.2015.7334872","mag":"2178678769"},"language":"en","primary_location":{"id":"doi:10.1109/pacrim.2015.7334872","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pacrim.2015.7334872","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5079158658","display_name":"Byung-kwan Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I89079967","display_name":"Catholic Kwandong University","ror":"https://ror.org/05n486907","country_code":"KR","type":"education","lineage":["https://openalex.org/I89079967"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"ByungKwan Lee","raw_affiliation_strings":["Dept. Computer Engineering, Catholic Kwandong University, Gangneung-si, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. Computer Engineering, Catholic Kwandong University, Gangneung-si, Korea","institution_ids":["https://openalex.org/I89079967"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113249157","display_name":"Eun-Hee Jeong","orcid":"https://orcid.org/0000-0001-7532-602X"},"institutions":[{"id":"https://openalex.org/I165507594","display_name":"Kangwon National University","ror":"https://ror.org/01mh5ph17","country_code":"KR","type":"education","lineage":["https://openalex.org/I165507594"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"EunHee Jeong","raw_affiliation_strings":["Dept. Regional Economics, Kangwon National University, Samcheok-si, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. Regional Economics, Kangwon National University, Samcheok-si, Korea","institution_ids":["https://openalex.org/I165507594"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100644160","display_name":"Jeong\u2010Ah Kim","orcid":"https://orcid.org/0000-0003-4949-4913"},"institutions":[{"id":"https://openalex.org/I89079967","display_name":"Catholic Kwandong University","ror":"https://ror.org/05n486907","country_code":"KR","type":"education","lineage":["https://openalex.org/I89079967"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"JeongAh Kim","raw_affiliation_strings":["Dept. Computer Education, Catholic Kwandong University, Gangneung-si, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. Computer Education, Catholic Kwandong University, Gangneung-si, Korea","institution_ids":["https://openalex.org/I89079967"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"8","issue":null,"first_page":"413","last_page":"416"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9955000281333923,"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":0.9955000281333923,"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":0.9624000191688538,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9412000179290771,"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/fuzzy-logic","display_name":"Fuzzy logic","score":0.756001353263855},{"id":"https://openalex.org/keywords/fuzzy-inference","display_name":"Fuzzy inference","score":0.6301636099815369},{"id":"https://openalex.org/keywords/adaptive-neuro-fuzzy-inference-system","display_name":"Adaptive neuro fuzzy inference system","score":0.6140846014022827},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6020272970199585},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5729089975357056},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5395860075950623},{"id":"https://openalex.org/keywords/fuzzy-set-operations","display_name":"Fuzzy set operations","score":0.5349223613739014},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5259787440299988},{"id":"https://openalex.org/keywords/fuzzy-classification","display_name":"Fuzzy classification","score":0.48257818818092346},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.46302950382232666},{"id":"https://openalex.org/keywords/defuzzification","display_name":"Defuzzification","score":0.4559917151927948},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.44313323497772217},{"id":"https://openalex.org/keywords/fuzzy-number","display_name":"Fuzzy number","score":0.4406316876411438},{"id":"https://openalex.org/keywords/fuzzy-control-system","display_name":"Fuzzy control system","score":0.4393956661224365},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4250977635383606},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2527947425842285}],"concepts":[{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.756001353263855},{"id":"https://openalex.org/C2986395286","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy inference","level":5,"score":0.6301636099815369},{"id":"https://openalex.org/C186108316","wikidata":"https://www.wikidata.org/wiki/Q352530","display_name":"Adaptive neuro fuzzy inference system","level":4,"score":0.6140846014022827},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6020272970199585},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5729089975357056},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5395860075950623},{"id":"https://openalex.org/C148671577","wikidata":"https://www.wikidata.org/wiki/Q5511133","display_name":"Fuzzy set operations","level":4,"score":0.5349223613739014},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5259787440299988},{"id":"https://openalex.org/C127385683","wikidata":"https://www.wikidata.org/wiki/Q1475696","display_name":"Fuzzy classification","level":4,"score":0.48257818818092346},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.46302950382232666},{"id":"https://openalex.org/C170260401","wikidata":"https://www.wikidata.org/wiki/Q5251735","display_name":"Defuzzification","level":5,"score":0.4559917151927948},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.44313323497772217},{"id":"https://openalex.org/C1883856","wikidata":"https://www.wikidata.org/wiki/Q3407463","display_name":"Fuzzy number","level":4,"score":0.4406316876411438},{"id":"https://openalex.org/C195975749","wikidata":"https://www.wikidata.org/wiki/Q1475705","display_name":"Fuzzy control system","level":3,"score":0.4393956661224365},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4250977635383606},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2527947425842285},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/pacrim.2015.7334872","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pacrim.2015.7334872","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320325945","display_name":"Catholic Kwandong University","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W1968677064","https://openalex.org/W2003233718","https://openalex.org/W2032521963","https://openalex.org/W2125055259","https://openalex.org/W6678449394"],"related_works":["https://openalex.org/W2184441312","https://openalex.org/W4242970302","https://openalex.org/W2571050636","https://openalex.org/W1485268022","https://openalex.org/W85606319","https://openalex.org/W2331106272","https://openalex.org/W1975005191","https://openalex.org/W1952396636","https://openalex.org/W173448675","https://openalex.org/W1542808721"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,104,115,123],"Disease":[4,19,26,32,96],"Inference":[5,27,97],"Scheme":[6],"based":[7],"on":[8],"Fuzzy":[9,45,70,112],"Logic":[10],"for":[11],"Patient's-customized":[12],"Healthcare.":[13],"It":[14],"consists":[15],"of":[16,75,90],"the":[17,24,37,44,48,53,59,68,73,82,88,110],"Fuzzy-based":[18,25,31,95],"Rules":[20,33,46,71,113],"Module":[21,34,98],"(FDRM)":[22,35],"and":[23,42,114],"Model":[28],"(FDIM).":[29],"The":[30,94],"computes":[36],"conditional":[38,62],"support":[39,63],"between":[40,50],"attributes":[41,60,76],"generates":[43],"considering":[47],"relation":[49],"them,":[51],"unlike":[52],"traditional":[54,83],"C4.5":[55,84],"algorithm,":[56,85],"by":[57,108],"using":[58,109],"whose":[61],"is":[64],"high.":[65],"Therefore,":[66],"because":[67],"generated":[69,111],"make":[72,87],"number":[74],"decreased":[77],"more":[78],"than":[79],"those":[80],"in":[81],"they":[86],"accuracy":[89],"rules":[91],"improved":[92],"more.":[93],"(FDIM)":[99],"not":[100],"only":[101],"can":[102,121],"reason":[103],"patient's":[105,124],"disease":[106,117,125],"accurately":[107],"patient":[116],"information":[118],"but":[119],"also":[120],"prevent":[122],"beforehand.":[126]},"counts_by_year":[{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
