{"id":"https://openalex.org/W4414117844","doi":"https://doi.org/10.1109/fuzz62266.2025.11152166","title":"External Risk Factors Based Prediction of Type 2 Diabetes in Fuzzy Cognitive Map Environment","display_name":"External Risk Factors Based Prediction of Type 2 Diabetes in Fuzzy Cognitive Map Environment","publication_year":2025,"publication_date":"2025-07-06","ids":{"openalex":"https://openalex.org/W4414117844","doi":"https://doi.org/10.1109/fuzz62266.2025.11152166"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz62266.2025.11152166","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz62266.2025.11152166","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Fuzzy Systems (FUZZ)","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/A5021131513","display_name":"M\u00e1rta Tak\u00e1cs","orcid":"https://orcid.org/0009-0007-8087-3432"},"institutions":[{"id":"https://openalex.org/I2801419141","display_name":"Buda Health Center","ror":"https://ror.org/00yx04352","country_code":"HU","type":"healthcare","lineage":["https://openalex.org/I2801419141"]}],"countries":["HU"],"is_corresponding":true,"raw_author_name":"M\u00e1rta Tak\u00e1cs","raw_affiliation_strings":["Óbuda University,John von Neumann Faculty of Informatics,Budapest,Hungary"],"affiliations":[{"raw_affiliation_string":"Óbuda University,John von Neumann Faculty of Informatics,Budapest,Hungary","institution_ids":["https://openalex.org/I2801419141"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5095377266","display_name":"Zs\u00f3fia Nagy-Perj\u00e9si","orcid":null},"institutions":[{"id":"https://openalex.org/I2801419141","display_name":"Buda Health Center","ror":"https://ror.org/00yx04352","country_code":"HU","type":"healthcare","lineage":["https://openalex.org/I2801419141"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Zs\u00f3fia Nagy-Perj\u00e9si","raw_affiliation_strings":["Óbuda University,John von Neumann Faculty of Informatics,Budapest,Hungary"],"affiliations":[{"raw_affiliation_string":"Óbuda University,John von Neumann Faculty of Informatics,Budapest,Hungary","institution_ids":["https://openalex.org/I2801419141"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5106399403","display_name":"Judit S\u00f6rf\u0151z\u0151 Sz\u00fcgyi","orcid":"https://orcid.org/0009-0003-4159-6015"},"institutions":[{"id":"https://openalex.org/I170726198","display_name":"University of Novi Sad","ror":"https://ror.org/00xa57a59","country_code":"RS","type":"education","lineage":["https://openalex.org/I170726198"]}],"countries":["RS"],"is_corresponding":false,"raw_author_name":"Judit S\u00f6rf\u0151z\u0151 Sz\u00fcgyi","raw_affiliation_strings":["Subotica University of Novi Sad,Hungarian Language Teacher Training Faculty,Novi Sad,Serbia"],"affiliations":[{"raw_affiliation_string":"Subotica University of Novi Sad,Hungarian Language Teacher Training Faculty,Novi Sad,Serbia","institution_ids":["https://openalex.org/I170726198"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5021131513"],"corresponding_institution_ids":["https://openalex.org/I2801419141"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13208756,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12805","display_name":"Cognitive Science and Mapping","score":0.9988999962806702,"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/T12805","display_name":"Cognitive Science and Mapping","score":0.9988999962806702,"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/T14512","display_name":"Technology and Human Factors in Education and Health","score":0.9696000218391418,"subfield":{"id":"https://openalex.org/subfields/2739","display_name":"Public Health, Environmental and Occupational Health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/fuzzy-cognitive-map","display_name":"Fuzzy cognitive map","score":0.7627000212669373},{"id":"https://openalex.org/keywords/scripting-language","display_name":"Scripting language","score":0.5296000242233276},{"id":"https://openalex.org/keywords/python","display_name":"Python (programming language)","score":0.5217999815940857},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.4894999861717224},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.47130000591278076},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4392000138759613},{"id":"https://openalex.org/keywords/cognitive-map","display_name":"Cognitive map","score":0.4284999966621399}],"concepts":[{"id":"https://openalex.org/C5041914","wikidata":"https://www.wikidata.org/wiki/Q5511107","display_name":"Fuzzy cognitive map","level":5,"score":0.7627000212669373},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.560699999332428},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5386000275611877},{"id":"https://openalex.org/C61423126","wikidata":"https://www.wikidata.org/wiki/Q187432","display_name":"Scripting language","level":2,"score":0.5296000242233276},{"id":"https://openalex.org/C519991488","wikidata":"https://www.wikidata.org/wiki/Q28865","display_name":"Python (programming language)","level":2,"score":0.5217999815940857},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.4894999861717224},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48339998722076416},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.47130000591278076},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4392000138759613},{"id":"https://openalex.org/C170494330","wikidata":"https://www.wikidata.org/wiki/Q1778434","display_name":"Cognitive map","level":3,"score":0.4284999966621399},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.4250999987125397},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.4196000099182129},{"id":"https://openalex.org/C195975749","wikidata":"https://www.wikidata.org/wiki/Q1475705","display_name":"Fuzzy control system","level":3,"score":0.39489999413490295},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37950000166893005},{"id":"https://openalex.org/C32896092","wikidata":"https://www.wikidata.org/wiki/Q189447","display_name":"Risk management","level":2,"score":0.3084000051021576},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.2766000032424927},{"id":"https://openalex.org/C170130773","wikidata":"https://www.wikidata.org/wiki/Q216378","display_name":"Usability","level":2,"score":0.2547000050544739},{"id":"https://openalex.org/C34585555","wikidata":"https://www.wikidata.org/wiki/Q1368723","display_name":"Learning curve","level":2,"score":0.2515000104904175}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fuzz62266.2025.11152166","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz62266.2025.11152166","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Fuzzy Systems (FUZZ)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2080216641","https://openalex.org/W2095224843","https://openalex.org/W2098983012","https://openalex.org/W2171186173","https://openalex.org/W2225477683","https://openalex.org/W2783296927","https://openalex.org/W2805326818","https://openalex.org/W2955297472","https://openalex.org/W3214712827","https://openalex.org/W3215313988","https://openalex.org/W4308031172","https://openalex.org/W4386285411","https://openalex.org/W4390746600","https://openalex.org/W4391347309","https://openalex.org/W4394747780"],"related_works":["https://openalex.org/W2063798559","https://openalex.org/W2343440291","https://openalex.org/W2991207020","https://openalex.org/W1661487699","https://openalex.org/W2372922208","https://openalex.org/W1491151750","https://openalex.org/W2047490267","https://openalex.org/W2777396095","https://openalex.org/W2566239125","https://openalex.org/W2747524643"],"abstract_inverted_index":{"The":[0,23,107,123],"model":[1],"presented":[2,108],"in":[3,16],"this":[4],"article":[5],"presents":[6],"an":[7],"end-to-end":[8],"system":[9,15,98],"that":[10,68],"simulates":[11],"a":[12,17,32,85],"risk":[13,86,117],"management":[14,87],"Fuzzy":[18],"Cognitive":[19],"Map":[20],"(FCM)":[21],"environment.":[22],"created":[24,40],"End":[25,27],"to":[26,41,89,149],"Pyton":[28],"(EtEPy)":[29],"package":[30],"is":[31],"novel":[33],"set":[34],"of":[35,47,64,94,104,118],"Python":[36],"scripts":[37],"which":[38],"was":[39],"be":[42],"used":[43],"for":[44,84],"complete":[45],"handling":[46],"the":[48,65,70,75,92,95,102,112,116,134,139],"problem,":[49],"such":[50],"as:":[51],"data":[52],"pre-preparation,":[53],"FCM":[54,57,81,126],"simulation":[55,129],"and":[56,73,100,128,133,142],"learning":[58,78],"processes":[59],"taking":[60,143],"into":[61,144],"account":[62,145],"those":[63],"transfer":[66],"functions":[67],"give":[69],"best":[71],"result,":[72],"using":[74,138],"Hebbian":[76],"based":[77],"process.":[79],"This":[80],"environment":[82],"allows":[83],"system,":[88],"deal":[90],"with":[91,101],"problem":[93],"relationship":[96],"between":[97],"parameters":[99,114],"teaching":[103],"their":[105],"interaction.":[106],"case":[109],"study":[110],"examines":[111],"external":[113],"affecting":[115],"Type":[119],"2":[120],"Diabetes":[121],"(T2D).":[122],"different":[124,146],"constructed":[125],"models":[127],"procedures":[130],"were":[131,136],"performed,":[132],"results":[135],"compared":[137],"heatmap":[140],"technology":[141],"scenarios":[147],"related":[148],"patients\u2019":[150],"characteristics.":[151]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-10-10T00:00:00"}