{"id":"https://openalex.org/W2766944632","doi":"https://doi.org/10.3233/jifs-169347","title":"Health diagnosis robot based on healthcare big data and fuzzy matching","display_name":"Health diagnosis robot based on healthcare big data and fuzzy matching","publication_year":2017,"publication_date":"2017-10-27","ids":{"openalex":"https://openalex.org/W2766944632","doi":"https://doi.org/10.3233/jifs-169347","mag":"2766944632"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-169347","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-169347","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent &amp; Fuzzy Systems","raw_type":"journal-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/A5102772098","display_name":"Jun Huang","orcid":"https://orcid.org/0000-0002-8471-6262"},"institutions":[{"id":"https://openalex.org/I4210162753","display_name":"First Affiliated Hospital of Jinan University","ror":"https://ror.org/05d5vvz89","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210162753"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Huang","raw_affiliation_strings":["The First Affiliated Hospital of Jinan University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"The First Affiliated Hospital of Jinan University, Guangzhou, China","institution_ids":["https://openalex.org/I4210162753"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101411133","display_name":"Dingju Zhu","orcid":"https://orcid.org/0000-0002-5907-3349"},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dingju Zhu","raw_affiliation_strings":["School of Computer Science, South China Normal University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, South China Normal University, Guangzhou, China","institution_ids":["https://openalex.org/I187400657"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5120811349","display_name":"Yong Tang","orcid":"https://orcid.org/0000-0002-9812-0742"},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Tang","raw_affiliation_strings":["School of Computer Science, South China Normal University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, South China Normal University, Guangzhou, China","institution_ids":["https://openalex.org/I187400657"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101411133"],"corresponding_institution_ids":["https://openalex.org/I187400657"],"apc_list":null,"apc_paid":null,"fwci":1.445,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.87120637,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"33","issue":"5","first_page":"2961","last_page":"2970"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9901999831199646,"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":0.9901999831199646,"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/T14280","display_name":"Big Data Technologies and Applications","score":0.9240000247955322,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"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/T13702","display_name":"Machine Learning in Healthcare","score":0.907800018787384,"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/big-data","display_name":"Big data","score":0.8494726419448853},{"id":"https://openalex.org/keywords/health-care","display_name":"Health care","score":0.8203526735305786},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6025230288505554},{"id":"https://openalex.org/keywords/health-examination","display_name":"Health examination","score":0.5943390130996704},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4468110203742981},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3791080713272095},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.1695237159729004}],"concepts":[{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.8494726419448853},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.8203526735305786},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6025230288505554},{"id":"https://openalex.org/C2992763968","wikidata":"https://www.wikidata.org/wiki/Q835153","display_name":"Health examination","level":2,"score":0.5943390130996704},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4468110203742981},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3791080713272095},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.1695237159729004},{"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jifs-169347","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-169347","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent &amp; Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1853998646","https://openalex.org/W1983426246","https://openalex.org/W2053381312","https://openalex.org/W2074761673","https://openalex.org/W2083548588","https://openalex.org/W2129713986","https://openalex.org/W2178323067","https://openalex.org/W2192245606","https://openalex.org/W2224103056","https://openalex.org/W2287586640","https://openalex.org/W2381792320","https://openalex.org/W2399710479","https://openalex.org/W2547880330","https://openalex.org/W6646087676"],"related_works":["https://openalex.org/W2735899841","https://openalex.org/W3215038878","https://openalex.org/W4375840519","https://openalex.org/W4200006435","https://openalex.org/W3203418880","https://openalex.org/W2900335827","https://openalex.org/W2584479569","https://openalex.org/W2543965979","https://openalex.org/W3001560604","https://openalex.org/W2853461349"],"abstract_inverted_index":{"This":[0],"paper":[1,129],"discussed":[2],"a":[3,27],"healthcare":[4,28,51,56,65,96,115,135,164],"big":[5,29,52,57,66,97,116,136,165],"data":[6,23,30,35,45,53,58,67,72,87,92,98,111,117,137,146],"analysis":[7,104,118,141,155],"system":[8,16,119],"and":[9,26,120,157],"device":[10,121],"for":[11,40,62,68,122],"health":[12,21,33,42,69,80,89,108,123,143],"diagnosis":[13,86,124],"robot.":[14],"The":[15,32,55,84,114],"is":[17,38,60,93,112],"composed":[18],"of":[19,73,133,153,162],"the":[20,50,64,74,103,131,134,151,154,159,163],"examination":[22,34,43,70,81,90,109,144],"acquisition":[24,36],"equipment":[25,37],"server.":[31,54],"used":[39,61],"acquiring":[41],"target":[44,82,110,145],"to":[46,49,88,101,107,138,149],"be":[47],"sent":[48],"server":[59],"searching":[63],"source":[71,91],"highest":[75],"fuzzy":[76],"matching":[77],"degree":[78],"with":[79],"data.":[83,166],"corresponding":[85,106],"retrieved":[94],"from":[95],"server,":[99],"according":[100],"which":[102],"results":[105,156],"generated.":[113],"robot":[125],"provided":[126],"in":[127,147],"this":[128],"makes":[130],"best":[132],"carry":[139],"out":[140],"on":[142],"order":[148],"improve":[150],"accuracy":[152],"raise":[158],"utilization":[160],"rate":[161]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
