Abstract
Considering the particularity, complexity and uncertainty of influencing factors, a dynamic estimation model of reservation registration service time based on binary attribute similarity in the hospital is proposed to solve the problem of hospital reservation registration service time estimation. The model combines hospital process expert knowledge with machine learning of historical data, and uses binary attribute similarity to construct the model of hospital data object. The results show that the proposed method can effectively estimate the booking service time and have high accuracy.
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