Predictive monitoring of clinical pathways
作者：
Highlights：
• We propose a learning framework for predictive monitoring of clinical pathways.
• Both offline analysis and online monitoring services are provided.
• A probabilistic topic model is developed to describe essential behaviors of CPs.
• Two predictive monitoring services are presented to illustrate the potential of our framework.
• Evaluation is done using a real clinical dataset from a Chinese hospital.
摘要
•We propose a learning framework for predictive monitoring of clinical pathways.•Both offline analysis and online monitoring services are provided.•A probabilistic topic model is developed to describe essential behaviors of CPs.•Two predictive monitoring services are presented to illustrate the potential of our framework.•Evaluation is done using a real clinical dataset from a Chinese hospital.
论文关键词：Clinical pathway,Predictive monitoring,Unusual treatment event prediction,Clinical outcome prediction,Electronic medical records
论文评审过程：Received 23 April 2015, Revised 27 February 2016, Accepted 28 February 2016, Available online 18 March 2016, Version of Record 28 March 2016.
论文官网地址：https://doi.org/10.1016/j.eswa.2016.02.052
