{"id":"https://openalex.org/W4306901607","doi":"https://doi.org/10.1016/j.neuri.2022.100109","title":"Applied picture fuzzy sets with knowledge reasoning and linguistics in clinical decision support system","display_name":"Applied picture fuzzy sets with knowledge reasoning and linguistics in clinical decision support system","publication_year":2022,"publication_date":"2022-10-20","ids":{"openalex":"https://openalex.org/W4306901607","doi":"https://doi.org/10.1016/j.neuri.2022.100109"},"language":"en","primary_location":{"id":"doi:10.1016/j.neuri.2022.100109","doi":"https://doi.org/10.1016/j.neuri.2022.100109","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.neuri.2022.100109","pdf_url":"https://www.sciencedirect.com/science/article/pii/S2772528622000711/pdf","source":{"id":"https://openalex.org/S4210237490","display_name":"Neuroscience Informatics","issn_l":"2772-5286","issn":["2772-5286"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","jufo-1"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neuroscience Informatics","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.sciencedirect.com/science/article/pii/S2772528622000711/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5088628835","display_name":"Hai Van Pham","orcid":"https://orcid.org/0000-0001-8325-1662","observed_orcids":["https://orcid.org/0000-0001-8325-1662"]},"institutions":[{"id":"https://openalex.org/I4405277486","display_name":"Tr\u01b0\u1eddng \u0110\u1ea1i h\u1ecdc Khoa h\u1ecdc v\u00e0 C\u00f4ng ngh\u1ec7 H\u00e0 N\u1ed9i","ror":"https://ror.org/02wdwrr89","country_code":"VN","type":"education","lineage":["https://openalex.org/I4405277486"]},{"id":"https://openalex.org/I94518387","display_name":"Hanoi University of Science and Technology","ror":"https://ror.org/04nyv3z04","country_code":"VN","type":"education","lineage":["https://openalex.org/I94518387"]}],"countries":["VN"],"is_corresponding":true,"raw_author_name":"Hai Van Pham","raw_affiliation_strings":["School of Information and Communication Technology, Hanoi University of Science and Technology, Hanoi, Viet Nam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Communication Technology, Hanoi University of Science and Technology, Hanoi, Viet Nam","institution_ids":["https://openalex.org/I4405277486","https://openalex.org/I94518387"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048676331","display_name":"Philip T. Moore","orcid":"https://orcid.org/0000-0003-3874-8981","observed_orcids":["https://orcid.org/0000-0003-3874-8981"]},"institutions":[{"id":"https://openalex.org/I76214153","display_name":"Lanzhou University","ror":"https://ror.org/01mkqqe32","country_code":"CN","type":"education","lineage":["https://openalex.org/I76214153"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Philip Moore","raw_affiliation_strings":["School of information science and Engineering, Lanzhou University, Lanzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of information science and Engineering, Lanzhou University, Lanzhou, China","institution_ids":["https://openalex.org/I76214153"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103751841","display_name":"B\u00f9i C\u00f4ng C\u01b0\u1eddng","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bui Cong Cuong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5088628835"],"corresponding_institution_ids":["https://openalex.org/I4405277486","https://openalex.org/I94518387"],"apc_list":{"value":1500,"currency":"USD","value_usd":1500},"apc_paid":{"value":1500,"currency":"USD","value_usd":1500},"fwci":4.3837,"has_fulltext":true,"cited_by_count":36,"citation_normalized_percentile":{"value":0.95185419,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":100},"biblio":{"volume":"2","issue":"4","first_page":"100109","last_page":"100109"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9223999977111816,"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"}},"topics":[{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9223999977111816,"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/T11671","display_name":"Fuzzy and Soft Set Theory","score":0.035100001841783524,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.00570000009611249,"subfield":{"id":"https://openalex.org/subfields/2718","display_name":"Health Informatics"},"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/picture-fuzzy-sets","display_name":"picture fuzzy sets","score":0.996999979019165},{"id":"https://openalex.org/keywords/clinical-decision-support-systems","display_name":"clinical decision support systems","score":0.9430000185966492},{"id":"https://openalex.org/keywords/rule-based-systems","display_name":"rule-based systems","score":0.7210000157356262},{"id":"https://openalex.org/keywords/knowledge-based-reasoning","display_name":"knowledge reasoning","score":0.9359999895095825},{"id":"https://openalex.org/keywords/linguistic-information","display_name":"linguistic information","score":0.9480000138282776},{"id":"https://openalex.org/keywords/telemedicine","display_name":"telemedicine","score":0.8420000076293945},{"id":"https://openalex.org/keywords/nurse-led-triage","display_name":"nurse-led triage","score":0.9539999961853027},{"id":"https://openalex.org/keywords/diagnostic-accuracy","display_name":"diagnostic accuracy","score":0.6269999742507935},{"id":"https://openalex.org/keywords/diagnostic-uncertainty","display_name":"diagnostic uncertainty","score":0.699999988079071},{"id":"https://openalex.org/keywords/heart-conditions","display_name":"cardiac conditions","score":0.968999981880188},{"id":"https://openalex.org/keywords/kidney-stones","display_name":"kidney stones","score":0.9990000128746033},{"id":"https://openalex.org/keywords/pyelonephritis","display_name":"pyelonephritis","score":0.9869999885559082}],"concepts":[{"id":"https://openalex.org/C2777120189","wikidata":"https://www.wikidata.org/wiki/Q780067","display_name":"Triage","level":2,"score":0.562981903553009},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.5386483669281006},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5046190023422241},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.46415409445762634},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46351349353790283},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4480736553668976},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.4396427869796753},{"id":"https://openalex.org/C2779891985","wikidata":"https://www.wikidata.org/wiki/Q46994","display_name":"Telemedicine","level":3,"score":0.4250742197036743},{"id":"https://openalex.org/C107327155","wikidata":"https://www.wikidata.org/wiki/Q330268","display_name":"Decision support system","level":2,"score":0.4235714375972748},{"id":"https://openalex.org/C534262118","wikidata":"https://www.wikidata.org/wiki/Q177719","display_name":"Medical diagnosis","level":2,"score":0.41779959201812744},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3756089508533478},{"id":"https://openalex.org/C539667460","wikidata":"https://www.wikidata.org/wiki/Q2414942","display_name":"Management science","level":1,"score":0.3737044036388397},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.34875065088272095},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.267738401889801},{"id":"https://openalex.org/C545542383","wikidata":"https://www.wikidata.org/wiki/Q2751242","display_name":"Medical emergency","level":1,"score":0.15533190965652466},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12654989957809448},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.11200779676437378},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C99454951","wikidata":"https://www.wikidata.org/wiki/Q932068","display_name":"Environmental health","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1016/j.neuri.2022.100109","doi":"https://doi.org/10.1016/j.neuri.2022.100109","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.neuri.2022.100109","pdf_url":"https://www.sciencedirect.com/science/article/pii/S2772528622000711/pdf","source":{"id":"https://openalex.org/S4210237490","display_name":"Neuroscience Informatics","issn_l":"2772-5286","issn":["2772-5286"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","jufo-1"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neuroscience Informatics","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:ec97dbab5d6b4caba517ed55ee5936b3","doi":null,"is_oa":true,"landing_page_url":"https://doaj.org/article/ec97dbab5d6b4caba517ed55ee5936b3","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Neuroscience Informatics, Vol 2, Iss 4, Pp 100109- (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1016/j.neuri.2022.100109","doi":"https://doi.org/10.1016/j.neuri.2022.100109","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.neuri.2022.100109","pdf_url":"https://www.sciencedirect.com/science/article/pii/S2772528622000711/pdf","source":{"id":"https://openalex.org/S4210237490","display_name":"Neuroscience Informatics","issn_l":"2772-5286","issn":["2772-5286"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","jufo-1"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neuroscience Informatics","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.8560000061988831,"display_name":"Good health and well-being"}],"study_designs":[],"awards":[{"id":"https://openalex.org/G4390871697","display_name":null,"funder_award_id":"05-2019","funder_id":"https://openalex.org/F4320309617","funder_display_name":"National Foundation for Science and Technology Development"},{"id":"https://openalex.org/G7110693004","display_name":null,"funder_award_id":"102.05","funder_id":"https://openalex.org/F4320309617","funder_display_name":"National Foundation for Science and Technology Development"},{"id":"https://openalex.org/G8674548614","display_name":"Nghi\u00ean c\u1ee9u \u0111\u1ed3 th\u1ecb tri th\u1ee9c v\u00e0 c\u00e1c ph\u01b0\u01a1ng ph\u00e1p h\u1ecdc s\u00e2u t\u00edch h\u1ee3p trong m\u1ed9t s\u1ed1 b\u00e0i to\u00e1n tr\u1ee3 gi\u00fap ra quy\u1ebft \u0111\u1ecbnh","funder_award_id":"102.05-2019.316","funder_id":"https://openalex.org/F4320309617","funder_display_name":"National Foundation for Science and Technology Development"}],"funders":[{"id":"https://openalex.org/F4320309617","display_name":"National Foundation for Science and Technology Development","ror":"https://ror.org/04rw64z44"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4306901607.pdf","grobid_xml":"https://content.openalex.org/works/W4306901607.grobid-xml"},"referenced_works_count":89,"referenced_works":["https://openalex.org/W133678218","https://openalex.org/W1140943376","https://openalex.org/W1505735190","https://openalex.org/W1575611982","https://openalex.org/W1646196070","https://openalex.org/W1758228846","https://openalex.org/W1963406418","https://openalex.org/W1970001627","https://openalex.org/W1972157584","https://openalex.org/W1980564456","https://openalex.org/W1983286635","https://openalex.org/W1987136947","https://openalex.org/W1998654311","https://openalex.org/W2002715137","https://openalex.org/W2003074513","https://openalex.org/W2027847640","https://openalex.org/W2030144209","https://openalex.org/W2052396854","https://openalex.org/W2067460630","https://openalex.org/W2068233096","https://openalex.org/W2081282960","https://openalex.org/W2083415911","https://openalex.org/W2100534360","https://openalex.org/W2101161011","https://openalex.org/W2123984495","https://openalex.org/W2142139833","https://openalex.org/W2153676086","https://openalex.org/W2171040590","https://openalex.org/W2188214996","https://openalex.org/W2248217189","https://openalex.org/W2287912310","https://openalex.org/W2499437758","https://openalex.org/W2514231086","https://openalex.org/W2540140736","https://openalex.org/W2674025757","https://openalex.org/W2736221751","https://openalex.org/W2764078585","https://openalex.org/W2765435434","https://openalex.org/W2771723588","https://openalex.org/W2773049164","https://openalex.org/W2799564849","https://openalex.org/W2803972637","https://openalex.org/W2809638219","https://openalex.org/W2888936538","https://openalex.org/W2892463764","https://openalex.org/W2902681505","https://openalex.org/W2911632998","https://openalex.org/W2934741040","https://openalex.org/W2944616065","https://openalex.org/W2955043778","https://openalex.org/W2956002160","https://openalex.org/W2967718912","https://openalex.org/W2978594441","https://openalex.org/W2993663017","https://openalex.org/W2999579305","https://openalex.org/W3003585850","https://openalex.org/W3012546754","https://openalex.org/W3014376660","https://openalex.org/W3021091519","https://openalex.org/W3022064816","https://openalex.org/W3023816575","https://openalex.org/W3039779697","https://openalex.org/W3087826781","https://openalex.org/W3089805074","https://openalex.org/W3101510858","https://openalex.org/W3109134116","https://openalex.org/W3139087622","https://openalex.org/W3145072800","https://openalex.org/W3189461415","https://openalex.org/W4205471131","https://openalex.org/W4207063453","https://openalex.org/W4211007335","https://openalex.org/W4230083077","https://openalex.org/W4234872648","https://openalex.org/W4242626799","https://openalex.org/W4245152641","https://openalex.org/W4247329683","https://openalex.org/W4256535740","https://openalex.org/W4280649794","https://openalex.org/W4292295629","https://openalex.org/W4298663828","https://openalex.org/W4300107936","https://openalex.org/W6605285348","https://openalex.org/W6685782485","https://openalex.org/W6776485662","https://openalex.org/W6776937304","https://openalex.org/W6780658759","https://openalex.org/W6783595712","https://openalex.org/W6786760481"],"related_works":["https://openalex.org/W4383106137","https://openalex.org/W2917204779","https://openalex.org/W7218203431","https://openalex.org/W2618556205","https://openalex.org/W2674025757","https://openalex.org/W4393964613","https://openalex.org/W7165761355","https://openalex.org/W4415400179","https://openalex.org/W2043435994","https://openalex.org/W3005396296"],"abstract_inverted_index":{"Motivation:":[0],"Healthcare":[1],"systems":[2],"globally":[3],"face":[4],"significant":[5],"resource":[6],"and":[7,47,54,64,96,184,213],"financial":[8],"challenges.":[9],"Moreover,":[10],"these":[11,77],"challenges":[12,78],"have":[13,178],"resulted":[14],"in":[15,25,51,61,98,142,149,199,207],"an":[16,39,131],"existential":[17],"paradigm":[18],"shift":[19],"driven":[20],"by:":[21],"(i)":[22],"the":[23,26,62,92,99,143,163,190,208],"growth":[24],"demand":[27],"for":[28,89,189],"healthcare":[29,45,52],"services":[30],"is":[31,79,91],"exacerbated":[32],"by":[33,38],"a":[34,86,108,150,194,214],"global":[35],"population":[36],"characterised":[37],"ageing":[40],"demographic":[41],"with":[42,81,158,204],"increasingly":[43],"complex":[44],"needs,":[46],"(ii)":[48],"rapid":[49],"developments":[50],"technologies":[53],"drug":[55],"therapies":[56],"which":[57,124,153],"can":[58],"be":[59],"seen":[60],"new":[63],"emerging":[65],"treatment":[66],"options.":[67],"A":[68],"potential":[69],"solution":[70],"to":[71,117,129,161,211,220],"address":[72],"[or":[73],"at":[74],"least":[75],"mitigate]":[76],"\u2018telemedicine\u2019":[80,90],"nurse-led":[82],"\u2018triage\u2019":[83],"systems;":[84],"however,":[85],"limiting":[87],"factor":[88],"management":[93],"of":[94,145,197],"imprecision":[95],"uncertainty":[97],"diagnostic":[100,164,201,222],"process.":[101],"Contribution:":[102],"In":[103,167],"this":[104],"paper":[105],"we":[106,177],"introduce":[107],"novel":[109],"rule-based":[110,151],"approach":[111,132,192],"predicated":[112,133],"on":[113,126,134],"picture":[114,135],"fuzzy":[115,136],"sets":[116],"enable":[118],"intelligent":[119],"clinical":[120,200],"decision":[121],"support":[122],"system":[123,152],"builds":[125],"previous":[127],"research":[128],"create":[130],"sets.":[137],"Our":[138],"principal":[139],"contribution":[140],"lies":[141],"use":[144],"expert":[146],"clinician":[147],"preferences":[148],"implements":[154],"knowledge":[155],"reasoning":[156],"along":[157],"linguistic":[159],"information":[160],"improve":[162],"performance.":[165],"Results:":[166],"\u2018real-world\u2019":[168],"case":[169],"studies":[170],"(using":[171],"ethically":[172],"approved":[173],"anonymised":[174],"patient":[175],"data)":[176],"investigated":[179],"heart":[180],"conditions,":[181],"kidney":[182,185],"stones,":[183],"infections.":[186],"Reported":[187],"results":[188],"proposed":[191],"demonstrate":[193],"high":[195,215],"level":[196,217],"accuracy":[198,202,206],"terms":[203],"reported":[205],"range":[209],"[92%":[210],"95%]":[212],"confidence":[216],"when":[218],"compared":[219],"alternative":[221],"matching":[223],"methods.":[224]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":17},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":12}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2022-10-21T00:00:00"}