• DocumentCode
    2464457
  • Title

    Trajectories mining in hospital information systems

  • Author

    Tsumoto, Shusaku ; Hirano, Shoji

  • Author_Institution
    Dept. of Med. Inf., Shimane Univ., Izumo, Japan
  • fYear
    2012
  • fDate
    14-17 Oct. 2012
  • Firstpage
    389
  • Lastpage
    394
  • Abstract
    This paper proposes two and three dimensional trajectories mining to analyze the temporal characteristics of hospital services. Trajectories mining method consists of the following two process. First the similarities between temporal trajectories of two or three selected variables are calculated. Second, similarity-based analysis technique such as clustering and multidimensional scaling is applied. The method was evaluated on data on the number of orders extracted from hospital information system. The results showed that the method discovered several interesting classification.
  • Keywords
    data mining; hospitals; medical information systems; pattern classification; classification; clustering; hospital information systems; hospital services temporal characteristics analysis; multidimensional scaling; similarity-based analysis technique; temporal trajectory; three dimensional trajectory mining; Data mining; Hospitals; Information systems; Kidney; Laboratories; Surgery; Trajectory; Clustering; Data mining; Hospital management; Service-oriented computing; Trajectories mining;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man, and Cybernetics (SMC), 2012 IEEE International Conference on
  • Conference_Location
    Seoul
  • Print_ISBN
    978-1-4673-1713-9
  • Electronic_ISBN
    978-1-4673-1712-2
  • Type

    conf

  • DOI
    10.1109/ICSMC.2012.6377732
  • Filename
    6377732