Triage data processing method and device, computer equipment and storage medium

Abstract

The invention relates to the technical field of artificial intelligence, and discloses a triage data processing method and device, computer equipment and a storage medium. The method comprises the following steps: acquiring patient symptom information of a patient; performing human body system identification on the patient symptom information through an upper-layer learning model in the hierarchical reinforcement learning model, and identifying a first human body system category; obtaining a lower-layer reinforcement learning model associated with the first human body system category from thehierarchical reinforcement learning model; predicting the symptom information of the patient through the obtained lower-layer reinforcement learning model and obtaining an action result; and when theaction result is the recommended department action, performing symptom feature identification on the patient symptom information through the department triage model, and identifying a triage result corresponding to the patient. According to the invention, the related symptoms of the patient are inquired through the hierarchical reinforcement learning model, and the clinic department of the patientcan be quickly and accurately determined. The method is suitable for the field of smart medical treatment, and can further promote the construction of smart cities.

Description

technical field [0001] The invention relates to the technical field of artificial intelligence, in particular to a triage data processing method, device, computer equipment and storage medium. Background technique [0002] With the advancement and development of medicine, hospitals have become more specialized in the setting of departments, and the resulting problem is that it is difficult for users to choose departments. In order to solve this problem, major hospitals have added guidance links, including guidance. The main purpose is to help patients recommend diagnosis and treatment departments. [0003] At present, when patients go to the hospital for treatment, they first need to go to the triage desk for manual triage. In this process, patients need to spend a lot of time queuing up, and there is a high degree of professional knowledge depth and breadth of the staff at the triage desk. Requirements, if the guide staff triages the patient incorrectly, it needs to be tri...

AI Technical Summary

Problems solved by technology

[0003] At present, when patients go to the hospital for treatment, they first need to go to the triage desk for manual triage. In this process, patients need to spend a lot of time queuing up, and there is a high degree of professional knowledge depth and breadth of the staff at the triage desk. Requirements, if the guide staff triages the patient incorrectly, it needs to be triaged again, which greatly wastes the patient's time and seriously affects the patient's experience. Therefore, in the existing technology, the manual triage process for patients is time-consuming and difficult Give a reasonable consultation department or doctor, resulting in poor patient experience and low diagnosis accuracy

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