{"id":"https://openalex.org/W2567510029","doi":"https://doi.org/10.1109/softcom.2016.7772154","title":"Is FCA suitable to improve Electronic Health Record systems?","display_name":"Is FCA suitable to improve Electronic Health Record systems?","publication_year":2016,"publication_date":"2016-09-01","ids":{"openalex":"https://openalex.org/W2567510029","doi":"https://doi.org/10.1109/softcom.2016.7772154","mag":"2567510029"},"language":"en","primary_location":{"id":"doi:10.1109/softcom.2016.7772154","is_oa":false,"landing_page_url":"https://doi.org/10.1109/softcom.2016.7772154","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 24th International Conference on Software, Telecommunications and Computer Networks (SoftCOM)","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/A5029006198","display_name":"Diana Hali\u021b\u0103","orcid":null},"institutions":[{"id":"https://openalex.org/I3125347698","display_name":"Babe\u0219-Bolyai University","ror":"https://ror.org/02rmd1t30","country_code":"RO","type":"education","lineage":["https://openalex.org/I3125347698"]}],"countries":["RO"],"is_corresponding":true,"raw_author_name":"Diana Halita","raw_affiliation_strings":["Department of Computer Science, Babe\u015f-Bolyai University, Cluj-Napoca, Romania"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Babe\u015f-Bolyai University, Cluj-Napoca, Romania","institution_ids":["https://openalex.org/I3125347698"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032317698","display_name":"Christian S\u0103c\u0103rea","orcid":"https://orcid.org/0000-0003-3295-9518"},"institutions":[{"id":"https://openalex.org/I3125347698","display_name":"Babe\u0219-Bolyai University","ror":"https://ror.org/02rmd1t30","country_code":"RO","type":"education","lineage":["https://openalex.org/I3125347698"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Christian Sacarea","raw_affiliation_strings":["Department of Computer Science, Babe\u015f-Bolyai University, Cluj-Napoca, Romania"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Babe\u015f-Bolyai University, Cluj-Napoca, Romania","institution_ids":["https://openalex.org/I3125347698"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5029006198"],"corresponding_institution_ids":["https://openalex.org/I3125347698"],"apc_list":null,"apc_paid":null,"fwci":1.3939,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.84425624,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"lvi","issue":null,"first_page":"1","last_page":"5"},"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/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9825999736785889,"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/formal-concept-analysis","display_name":"Formal concept analysis","score":0.8080093860626221},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7087538242340088},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5478160977363586},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.519564151763916},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4727821350097656},{"id":"https://openalex.org/keywords/concept-map","display_name":"Concept map","score":0.4715923070907593},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.45987099409103394},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33069300651550293},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24576815962791443},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09844556450843811}],"concepts":[{"id":"https://openalex.org/C76363472","wikidata":"https://www.wikidata.org/wiki/Q1437394","display_name":"Formal concept analysis","level":2,"score":0.8080093860626221},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7087538242340088},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5478160977363586},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.519564151763916},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4727821350097656},{"id":"https://openalex.org/C200287777","wikidata":"https://www.wikidata.org/wiki/Q830115","display_name":"Concept map","level":2,"score":0.4715923070907593},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.45987099409103394},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33069300651550293},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24576815962791443},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09844556450843811},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/softcom.2016.7772154","is_oa":false,"landing_page_url":"https://doi.org/10.1109/softcom.2016.7772154","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 24th International Conference on Software, Telecommunications and Computer Networks (SoftCOM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.6299999952316284}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1493941115","https://openalex.org/W1503729935","https://openalex.org/W1505620647","https://openalex.org/W1564561201","https://openalex.org/W1599194387","https://openalex.org/W1606156343","https://openalex.org/W1790062403","https://openalex.org/W1831739095","https://openalex.org/W1885696691","https://openalex.org/W1904043238","https://openalex.org/W1981804253","https://openalex.org/W1983024255","https://openalex.org/W1987811240","https://openalex.org/W2053932262","https://openalex.org/W2120962947","https://openalex.org/W2123136512","https://openalex.org/W2141847884","https://openalex.org/W2249414895","https://openalex.org/W2262790950","https://openalex.org/W4255318870","https://openalex.org/W6639510819","https://openalex.org/W6677742830"],"related_works":["https://openalex.org/W2495844640","https://openalex.org/W44944126","https://openalex.org/W4250377198","https://openalex.org/W97952580","https://openalex.org/W2142472686","https://openalex.org/W3165364265","https://openalex.org/W4296672482","https://openalex.org/W2147440166","https://openalex.org/W4380576603","https://openalex.org/W3159661535"],"abstract_inverted_index":{"Formal":[0],"Concept":[1],"Analysis":[2],"(FCA)":[3],"is":[4,151],"a":[5],"prominent":[6],"field":[7],"of":[8,17,74,97,100,146,181],"applied":[9],"mathematics":[10],"using":[11,104,127],"formal":[12],"concepts":[13],"-":[14,20],"maximal":[15],"clusters":[16],"object-attribute":[18],"relationships":[19],"to":[21,40,44,174],"discover,":[22],"process,":[23],"and":[24,34,43,62,93,135,166,193],"represent":[25],"knowledge":[26,50],"in":[27,64,143],"so-called":[28],"conceptual":[29,128,169],"hierarchies.":[30],"Its":[31],"efficient":[32],"algorithms":[33],"expressive":[35],"power":[36],"makes":[37],"FCA":[38,80,155],"suitable":[39],"unify":[41],"methodologies":[42],"provide":[45],"an":[46,185],"in-depth":[47],"insight":[48],"on":[49,153,162],"structures":[51],"[1],":[52],"[2].":[53],"Electronic":[54],"Health":[55],"Record":[56],"(EHR)":[57],"systems":[58,77,102],"are":[59],"nowadays":[60],"widespread":[61],"used":[63,142,173],"different":[65],"scenarios.":[66],"In":[67],"this":[68],"paper":[69],"we":[70,85,117,130],"consider":[71,118],"the":[72,95,119,144,178],"problem":[73],"improving":[75],"EHR":[76,101,186],"with":[78,87],"new,":[79],"grounded":[81],"features.":[82],"For":[83],"this,":[84],"start":[86],"some":[88,98],"particular":[89],"medical":[90,120,164],"data":[91,121,183],"sets":[92,122],"discuss":[94,167],"improvement":[96],"features":[99],"by":[103],"FCA.":[105],"Two":[106],"main":[107],"methods":[108,161],"have":[109],"been":[110],"taken":[111],"into":[112],"consideration":[113],"so":[114],"far.":[115],"First,":[116],"as":[123],"many-valued":[124],"contexts.":[125],"By":[126],"scaling,":[129],"build":[131],"`knowledge":[132],"landscapes'":[133],"[3]":[134],"show":[136],"how":[137,168],"these":[138,160],"`landscapes'":[139],"might":[140],"be":[141,172],"framework":[145],"EHR.":[147],"A":[148],"complementary":[149],"approach":[150],"based":[152],"Triadic":[154],"(3FCA)":[156],"approach.":[157],"We":[158],"exemplify":[159],"several":[163],"datasets":[165],"landscapes":[170],"can":[171],"improve":[175],"not":[176],"only":[177],"integrated":[179],"view":[180],"patient":[182],"(as":[184],"system":[187],"specific":[188],"feature),":[189],"but":[190],"also":[191],"communication":[192],"support":[194],"future":[195],"research.":[196]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}