Clinical Pathway Modeling by Petri Net Based on Process Mining
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TP18

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    Abstract:

    This paper proposed a clinical pathway Petri net model based on statistical αalgorithm, which integrate the basic Petri net with process mining algorithm based on statistical αalgorithm. This model can obtain medical procedure from event log and build clinical pathway Petri net model on the procedure. The medical procedure could be optimized and improved by analysis of the Petri net model. Simulation results shows that the statistical αalgorithm performs better in accuracy and efficiency than classic αalgorithm. The proposed model is verified on the real data of clinical pathway.

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YU Jianbo, ZHENG Xiaoyun, LI Chuanfeng, DONG Chenyang. Clinical Pathway Modeling by Petri Net Based on Process Mining[J].同济大学学报(自然科学版),2018,46(04):0524~0534

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History
  • Received:April 13,2017
  • Revised:March 07,2018
  • Adopted:January 08,2018
  • Online: May 11,2018
  • Published:
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