Method and device for information pushing

Abstract

The invention discloses a method and device for information pushing. The method comprises the steps that problem information of a user is acquired; first problem information is matched with problem information of each solution case in a knowledge library, and a solution scheme in the solution case which is matched successfully and satisfies a first preset condition is taken as a second solution scheme; and the second solution scheme is taken as final information and pushed to the user. The method has the advantages that the user's problem information is matched with various types of problem information in the big data knowledge library, so accuracy of problem information matching is increased; the optimal solution scheme information can be obtained through problem information retrieval, so the optimal solution scheme can be obtained in real time; and finally the optimal solution scheme information is pushed to the user, so that the solution scheme can be pushed in a pertinent and rapid manner.

Description

technical field [0001] The invention relates to the fields of computer technology and medical and health technology, in particular to an information push method and device. Background technique [0002] At present, the traditional mode of communication between doctors and patients is that patients need to go to the hospital to find a doctor, and communicate with the doctor face to face. The doctor conducts reference reasoning based on the patient's condition through examination results, his own experience or existing data in the expert database. Get the treatment plan for the patient's condition and recommend it to the patient. The above method relies too much on the supervisory experience and theoretical knowledge of experts or expert databases, and cannot effectively improve the quality and efficiency of medical and health services. Once the knowledge of experts or expert databases is wrong, it will produce wrong treatment plan recommendations. Recommended There will be d...

AI Technical Summary

Problems solved by technology

The above method relies too much on the supervisory experience and theoretical knowledge of experts or expert databases, and cannot effectively improve the quality and efficiency of medical and health services. Once the knowledge of experts or expert databases is wrong, it will produce wrong treatment plan recommendations. Recommended There will be deviations in the plan, which will have a negative impact on the treatment of the patient's condition and delay the timeliness of the patient's health

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