Reservation recommendation method and system based on hospital background data

The invention relates to the technical field of data processing, and discloses an appointment recommendation method and system based on hospital background data, which are used for improving the accuracy of appointment recommendation based on the hospital background data. The method comprises the following steps: carrying out model training on a hidden Markov model to obtain a target hidden Markov model; inputting the to-be-processed diagnosis and treatment data into the target hidden Markov model for user behavior prediction to obtain probability density data of a predicted behavior; performing data correction on the probability density data to obtain corrected probability density data, and matching predicted user behaviors of the target user according to the corrected probability density data; based on the hidden state data and the observation sequence data, performing user behavior path identification on the predicted user behavior to obtain a target user behavior path; and performing reservation item matc