Research on anomaly detection of clinical case based on fuzzy pattern recognition
Tian Zheng · Jisuanji gongcheng yu sheji · 2009
Existing anomaly detection of clinical case usually founded on association with symptom and disease,expenses control and pattern mining on clinical sequence.Some clinical data that no information of sumptom and time fall across some problem.Based on the characteristic of these data,CC_FR model is advanced,this model used frequent patterns mining to confirm subordinate function and matched frequent patterns of subordinate function with clinical data to gain the detection results.The experimental results show that the model can get better general performance,it can play the supervising and caution function in clinical medical treatment.