Receiving user determination method and device, electronic equipment and storage medium

Abstract

The embodiment of the invention discloses a diagnosis receiving user determination method and device, electronic equipment and a storage medium, and the method comprises the steps: determining a diagnosis receiving user set corresponding to a diagnosis request when the diagnosis request is received, and the diagnosis receiving user set comprises a plurality of diagnosis receiving users to be selected; aiming at each recall strategy, determining at least one to-be-selected reception user matched with the current recall strategy from the plurality of to-be-selected reception users, and determining a to-be-processed reception subset based on the at least one to-be-selected reception user; inputting the to-be-processed reception subsets into a preset feature determination model to obtain a target reception list; wherein the target reception list comprises at least one to-be-selected reception user in each to-be-processed reception subset. According to the technical scheme provided by the embodiment of the invention, the diagnosis receiving user which is most matched with the doctor seeing user is screened out from a large number of diagnosis receiving users according to a multi-path recall strategy, and the calculation efficiency of the system is considered while the recall rate of the diagnosis receiving users is ensured.

Description

technical field [0001] The embodiments of the present invention relate to the technical field of medical management, and in particular, to a method, device, electronic device, and storage medium for determining a patient receiving a patient. Background technique [0002] With the continuous development of Internet medical care, users can directly implement online consultation based on the client. In this process, the online medical system needs to recommend more targeted users for consultation. [0003] In the prior art, when a medical user makes an inquiry based on the online medical system, the system needs to screen among tens of thousands or even hundreds of thousands of medical users, so as to obtain a medical user that is more suitable for the medical user. However, when the system recalls a large number of patients, if a simple recall strategy is adopted, although the calculation speed of the system can be improved, the recall rate of the patients will be reduced; on...

AI Technical Summary

Problems solved by technology

However, when the system recalls a large number of patients, if a simple recall strategy is adopted, although the calculation speed of the system can be improved, the recall rate of the patients will be reduced; on the contrary, if the recall strategy is too complicated, it will Increased the calculation time of the system, resulting in a long waiting time for the doctor

[0004] Therefore, in the solution provided by related technologies, when the system recalls a large number of patients, the recall rate of patients and the calculation speed of the system cannot be balanced, and the online consultation experience of users is poor.

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