Intelligent Guided Examination and Queuing Algorithm Based on Decision Tree Model and its Application Effect
Objective Intelligent algorithms are used to reduce physical examination queue time,optimize the physical examination process and improve physical examination efficiency.Methods Using decision tree algorithm,the optimal physical examination path is calculated for considering various factors that affect the queuing of physical examinations,in order to reasonably arrange the physical examination process for examinees and reduce their waiting and queuing time.Results From the data comparison before and after the implementation of intelligent guided examination,the physical examination median average duration after implementation is 16 minutes(P=0.0023)less than that before implementation,indicating that the time for physical examination is significantly reduced,and the fluctuation range of median duration is 13 to 16 minutes less than that before implementation,indicating that the fluctuation range is also reduced.Conclusion Intelligent guided examination can reduce the blindness of physical examination personnel,reduce the average duration of physical examination,and improve the efficiency of physical examination.
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