{"id":"https://openalex.org/W2040506562","doi":"https://doi.org/10.4018/jdet.2011010107","title":"Research on Key Technology in Remote Education System of Spirit Diagnosing by Eye in TCM","display_name":"Research on Key Technology in Remote Education System of Spirit Diagnosing by Eye in TCM","publication_year":2011,"publication_date":"2011-01-01","ids":{"openalex":"https://openalex.org/W2040506562","doi":"https://doi.org/10.4018/jdet.2011010107","mag":"2040506562"},"language":"en","primary_location":{"id":"doi:10.4018/jdet.2011010107","is_oa":false,"landing_page_url":"https://doi.org/10.4018/jdet.2011010107","pdf_url":null,"source":{"id":"https://openalex.org/S103640237","display_name":"International Journal of Distance Education Technologies","issn_l":"1539-3100","issn":["1539-3100","1539-3119"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Distance Education Technologies","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/A5101556960","display_name":"Feng Guo","orcid":"https://orcid.org/0000-0001-8131-9301"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Guo","raw_affiliation_strings":["Xiamen University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xiamen University, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081767617","display_name":"Shaozi Li","orcid":"https://orcid.org/0000-0001-5403-9945"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaozi Li","raw_affiliation_strings":["Xiamen University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xiamen University, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018577425","display_name":"Ying Dai","orcid":"https://orcid.org/0000-0002-6987-8212"},"institutions":[{"id":"https://openalex.org/I6090238","display_name":"Iwate Prefectural University","ror":"https://ror.org/054dx8336","country_code":"JP","type":"education","lineage":["https://openalex.org/I6090238"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ying Dai","raw_affiliation_strings":["Iwate Prefectural University, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Iwate Prefectural University, Japan","institution_ids":["https://openalex.org/I6090238"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101399826","display_name":"Changle Zhou","orcid":"https://orcid.org/0000-0002-6779-7670"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changle Zhou","raw_affiliation_strings":["Xiamen University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xiamen University, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021830578","display_name":"Ying Lin","orcid":"https://orcid.org/0000-0002-2270-272X"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Lin","raw_affiliation_strings":["Xiamen University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xiamen University, China","institution_ids":["https://openalex.org/I191208505"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2575,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.57225676,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"9","issue":"1","first_page":"101","last_page":"113"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.9886000156402588,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11439","display_name":"Video Analysis and Summarization","score":0.9886000156402588,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9768999814987183,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9682999849319458,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7406056523323059},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5899625420570374},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5435885787010193},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5055510997772217},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.49846935272216797},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.49400144815444946},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.4848524332046509},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4569026529788971},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.45657116174697876},{"id":"https://openalex.org/keywords/association-rule-learning","display_name":"Association rule learning","score":0.44057387113571167},{"id":"https://openalex.org/keywords/test","display_name":"Test (biology)","score":0.4362275004386902},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39353910088539124},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1853187382221222},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.1513223648071289},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.11608928442001343}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7406056523323059},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5899625420570374},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5435885787010193},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5055510997772217},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.49846935272216797},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.49400144815444946},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.4848524332046509},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4569026529788971},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.45657116174697876},{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.44057387113571167},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.4362275004386902},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39353910088539124},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1853187382221222},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.1513223648071289},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.11608928442001343},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.4018/jdet.2011010107","is_oa":false,"landing_page_url":"https://doi.org/10.4018/jdet.2011010107","pdf_url":null,"source":{"id":"https://openalex.org/S103640237","display_name":"International Journal of Distance Education Technologies","issn_l":"1539-3100","issn":["1539-3100","1539-3119"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Distance Education Technologies","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:igg:jdet00:v:9:y:2011:i:1:p:101-113","is_oa":false,"landing_page_url":"http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/jdet.2011010107","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.800000011920929,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1484413656","https://openalex.org/W1506285740","https://openalex.org/W1537336823","https://openalex.org/W1581276022","https://openalex.org/W1584003909","https://openalex.org/W1585646276","https://openalex.org/W1597161471","https://openalex.org/W1597561788","https://openalex.org/W1978930273","https://openalex.org/W2030969394","https://openalex.org/W2032226242","https://openalex.org/W2036959577","https://openalex.org/W2037965136","https://openalex.org/W2064853889","https://openalex.org/W2069356553","https://openalex.org/W2106021426","https://openalex.org/W2108560469","https://openalex.org/W2114624736","https://openalex.org/W2128723273","https://openalex.org/W2138660495","https://openalex.org/W2141115288","https://openalex.org/W2147694185","https://openalex.org/W2162034534","https://openalex.org/W2166559705","https://openalex.org/W2170595610","https://openalex.org/W2367367440","https://openalex.org/W2388580130","https://openalex.org/W4252403066","https://openalex.org/W6628750762","https://openalex.org/W6635637936"],"related_works":["https://openalex.org/W2751920613","https://openalex.org/W2415164632","https://openalex.org/W2238349241","https://openalex.org/W2355668701","https://openalex.org/W2370453500","https://openalex.org/W3012205960","https://openalex.org/W2079402849","https://openalex.org/W2359717995","https://openalex.org/W1561334777","https://openalex.org/W3027282085"],"abstract_inverted_index":{"Spirit":[0],"diagnosing":[1],"is":[2,25,74,140],"an":[3,65,186],"important":[4],"theory":[5,24,38],"in":[6,44,71,78,88],"TCM":[7,14,89],"(Traditional":[8],"Chinese":[9],"Medicine),":[10],"by":[11,106,142,155],"which":[12,82,96,191],"a":[13,18,50,59,120,123],"doctor":[15],"can":[16,55],"diagnose":[17],"patient\u2019s":[19],"body":[20],"state.":[21],"But":[22],"this":[23,45,72,131],"complicated":[26],"and":[27,39,61,171],"difficult":[28],"to":[29,91,173],"master":[30],"simply":[31],"learned":[32],"from":[33,58],"books.":[34],"To":[35],"further":[36],"the":[37,47,63,92,98,107,111,136,149,156,161,175,193,197],"skill":[40],"of":[41,125,135,148,189,196],"spirit":[42,79],"diagnosing,":[43,80],"paper,":[46],"authors":[48],"propose":[49],"remote":[51],"education":[52],"system":[53,73],"that":[54],"accept":[56],"videos":[57,115],"user":[60,64],"give":[62],"auto-diagnosed":[66],"spirit.":[67],"The":[68,178],"key":[69],"technology":[70],"eye":[75,117,126,137],"feature":[76,138],"computation":[77],"for":[81,182],"rules":[83,151,184],"describing":[84],"\u201cthe":[85],"spirit\u201d":[86],"(spirit":[87],"refers":[90],"human\u2019s":[93],"mental":[94],"state":[95,103],"reflects":[97],"one\u2019s":[99],"general":[100],"physical":[101],"condition)":[102],"are":[104,128,152,169],"mined":[105,154,183],"quantitative":[108],"features":[109,127],"regarding":[110],"human":[112],"eyes.":[113],"With":[114],"capturing":[116],"condition":[118],"during":[119],"short":[121],"period,":[122],"set":[124],"extracted.":[129],"On":[130],"basis,":[132],"attribute":[133],"intervals":[134],"space":[139],"generated":[141],"CAIM":[143],"(class-attribute":[144],"interdependence":[145],"maximization).":[146],"Several":[147],"candidate":[150,176],"then":[153],"association":[157],"rule":[158],"based":[159],"on":[160],"cloud":[162],"model.":[163],"Finally,":[164],"three":[165],"complementary":[166],"rule-pruning":[167],"methods":[168],"modified":[170],"combined":[172],"trim":[174],"rules.":[177],"cross":[179],"validation":[180],"test":[181],"has":[185],"average":[187],"accuracy":[188],"93%,":[190],"shows":[192],"high":[194],"performance":[195],"proposed":[198],"method.":[199]},"counts_by_year":[{"year":2012,"cited_by_count":1}],"updated_date":"2026-06-11T06:19:23.411458","created_date":"2025-10-10T00:00:00"}
