Research on Temporal Active Mining for Clinical Process Management

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The research achievements of this project are summarized as follows :(1) Application of temporal data mining process to datasets on the number of clinical orders captured temporal characteristics of clinical orders and extracted important knowledge for clinical process management.(2) Application of temporal data mining methods to datasets on temporal change of nursing orders showed that nursing orders can be classified into three major categories : the orders common to a disease and those specific to the status of severity of patients.(3) Especially for a disease where a clinical pathway is applied, the proposed process provided a empirical validation method for the clinical pathway and supported its revision.