Heart disease-based health prescription generation method

Abstract

The invention provides a heart disease-based health prescription generation method. The heart disease-based health prescription generation method is used for determining a physical sign adjustment standard and a compression resistance grade of a patient based on a BP (Back Propagation) neural network according to the illness condition of the patient, and comprises the following steps: step 1, inputting the age, disease type, disease age, complication grade and complication disease age, long-term administration medicines of the patient; 2, determining an input layer neuron vector of the three-layer BP neural network; 3, mapping the input layer vector to a hidden layer, wherein the number of neurons of the hidden layer is m; and step 4, obtaining an output layer neuron vector. The physical sign adjustment standard and the compression resistance grade of the patient can be determined based on the BP (Back Propagation) neural network according to the illness condition of the patient, thenthe daily salt content, daily oil content, daily sugar content and heart rate bearing upper limit of the patient are determined, it is ensured that the health guidance prescription of the patient is safely and accurately generated, the body of the patient is adjusted in an all-around mode, and the demands of the patient in all aspects are met.

Description

technical field [0001] The present invention relates to the technical field of medical and health prescription generation, and more specifically, the present invention relates to a method for generating a health prescription based on heart disease. Background technique [0002] Most of the medical technology in the existing society is that patients go to the hospital to register to see a doctor, and the doctor prescribes a prescription for the patient through face-to-face consultation. Very few hospitals use Internet telemedicine consultation. Although patients are not required to go to the hospital to see a doctor, they all require patients (or users) to submit their existing symptoms to the doctor on the Internet platform, and the doctor reads the patient's information through the Internet. After submitting the disease information, the prescription is given to the patient. Can not be timely and can not always solve the patient's demands. [0003] Chinese invention patent...

AI Technical Summary

Problems solved by technology

[0006] 1. The answer to the input question is unique, and the patient can only get the corresponding drug recommendation, and the patient can only relieve the disease by taking the drug

[0007] 2. The patient can only answer the doctor's questions, but cannot take the initiative to ask questions. The whole process is very passive and often does not work. The patient needs to go to the hospital for face-to-face consultation

[0008] 3. How to achieve the whole process is not stated in detail in the patent, and the accuracy of the prescription results cannot be guaranteed, and medicines are different from other foods. The type and dosage of medicines need to be strictly controlled, and there will be life if there is a slight difference. Danger

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