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A Novel Multi-view Bi-clustering method for identifying abnormal Co-occurrence medical visit behaviors.
Guo, Yu-Bing; Zheng, Zi-Xin; Kong, Lan-Ju; Guo, Wei; Yan, Zhong-Min; Cui, Li-Zhen; Xiao-Fang Wang, And.
Afiliação
  • Guo YB; Research Center of Software and Data Engineering, School of Software, Shandong University, Jinan, China.
  • Zheng ZX; Research Center of Software and Data Engineering, School of Software, Shandong University, Jinan, China.
  • Kong LJ; Research Center of Software and Data Engineering, School of Software, Shandong University, Jinan, China; Joint SDU-NTU Centre for Artificial Intelligence Research (C-FAIR), Shandong University, Jinan, China. Electronic address: klj@sdu.edu.cn.
  • Guo W; Research Center of Software and Data Engineering, School of Software, Shandong University, Jinan, China; Joint SDU-NTU Centre for Artificial Intelligence Research (C-FAIR), Shandong University, Jinan, China.
  • Yan ZM; Research Center of Software and Data Engineering, School of Software, Shandong University, Jinan, China; Joint SDU-NTU Centre for Artificial Intelligence Research (C-FAIR), Shandong University, Jinan, China.
  • Cui LZ; Research Center of Software and Data Engineering, School of Software, Shandong University, Jinan, China; Joint SDU-NTU Centre for Artificial Intelligence Research (C-FAIR), Shandong University, Jinan, China.
  • Xiao-Fang Wang A; Shandong Provincial Key Laboratory of Network Based Intelligent Computing, University of Jinan, Jinan, China.
Methods ; 207: 65-73, 2022 11.
Article em En | MEDLINE | ID: mdl-36122881
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Algoritmos Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Algoritmos Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article