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Drug recommendation method, device based on artificial intelligence and related equipment

A technology of artificial intelligence and recommendation method, applied in the field of medical informatization, can solve the problems of low accuracy in excluding drug risks, failure to fully consider the influence of drug contraindications, etc., and achieve the effect of improving efficiency and accuracy

Pending Publication Date: 2021-11-26
深圳平安智慧医健科技有限公司
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AI Technical Summary

Problems solved by technology

[0003] In the existing technology, the diagnosis and treatment information of patients is obtained through machine learning methods to generate patient prescriptions. This method does not fully consider the taboo relationship between drugs and the impact of drugs with the same or similar efficacy on patients. In the list of recommended drugs, Less accurate for ruling out drug risk

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  • Drug recommendation method, device based on artificial intelligence and related equipment
  • Drug recommendation method, device based on artificial intelligence and related equipment
  • Drug recommendation method, device based on artificial intelligence and related equipment

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Embodiment Construction

[0025] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0026] The artificial intelligence-based drug recommendation method provided by the embodiment of the present invention can be applied in such as figure 1 In an application environment in which a terminal device communicates with a server through a network. Among them, the terminal devices can be but not limited to various personal computers, notebook computers, smart phones, tablet computers and portable wearable devices. The server can be implemente...

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Abstract

The invention relates to an artificial intelligence technology, discloses a drug recommendation method, device based on artificial intelligence and related equipment, and is applied to the technical field of medical informatization. The method provided by the invention comprises the following steps: acquiring current diagnosis information of a patient, and acquiring symptom description from the current diagnosis information; inputting the disease description into the neural network model, and generating disease information corresponding to the disease description; based on the disease information, searching corresponding drugs in a preset drug knowledge base to obtain a candidate drug list; acquiring historical diagnosis information of the patient, and generating a patient portrait of the patient according to the diagnosis information and the historical diagnosis information; and on the basis of the patient portrait, through a keyword extraction algorithm, generating a medication taboo rule of the patient, and on the basis of the medication taboo rule, screening medicines in the candidate medicine list to obtain a recommended medicine list. The method is used for eliminating drugs having risks for patients, and the accuracy of generating drug recommendation information is improved.

Description

technical field [0001] The present invention relates to the field of medical information technology, in particular to an artificial intelligence-based drug recommendation method, device and related equipment. Background technique [0002] When a patient sees a doctor, the doctor will diagnose and treat the patient according to the patient's condition, and prescribe a drug for the patient, and ask the patient to take the prescribed drug. When the doctor prescribes the drug, he needs to comprehensively consider various factors, such as age, physical characteristics, etc., even if It is the same disease, different patients are different, the drugs used will be different, and the dosage of the same drug is also different. Therefore, how to choose the drug suitable for the patient from many drugs has become an urgent problem to be solved. [0003] In the existing technology, the diagnosis and treatment information of patients is obtained through machine learning methods to genera...

Claims

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Application Information

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IPC IPC(8): G16H20/10G16H50/20G06F16/36
CPCG16H20/10G16H50/20G06F16/367
Inventor 任君珍
Owner 深圳平安智慧医健科技有限公司
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