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Method and system for intelligent medicine risk monitoring

A monitoring system and drug technology, applied in medical science, sensors, measuring pulse rate/heart rate, etc., can solve problems such as not taking good care of individual differences, rigid standards, and poor timeliness

Inactive Publication Date: 2016-11-16
SUN YAT SEN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

CardioNet's equipment sends information back to the monitoring center to manually judge the patient's physical condition, but it still has the disadvantage of poor timeliness
In addition, for the judgment and prediction of abnormal physical signs, most of them use simple statistical data, such as blood pressure is less than a certain value, the standard is rigid, and individual differences are not well taken care of

Method used

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  • Method and system for intelligent medicine risk monitoring
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  • Method and system for intelligent medicine risk monitoring

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Embodiment Construction

[0028] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative work shall fall within the protection scope of the present invention.

[0029] figure 1 It is a schematic flow chart of the intelligent drug risk monitoring method of the embodiment of the present invention, such as figure 1 As shown, the method includes:

[0030] S1, collect user's physical data through wearable devices;

[0031] S2, scan the medications taken during medication to obtain medication data;

[0032] S3, sampling the physical sign data at preset time intervals;

[0033] S4: Obtain the side effect pro...

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PUM

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Abstract

Embodiments of the invention disclose a method and a system for intelligent medicine risk monitoring. The method comprises: through a wearable device, collecting physical sign data of a user; when the user takes medicine, scanning the taken medicine, to obtain medicine data; sampling the physical sign data at preset intervals; and based on a neural network model, obtaining side effect probability of the medicine According to human physical sign changes of a heart disease patient and medicine components, combined with a neural network, the method intelligently analyzes side effects of the medicine after the user takes the medicine, and conveniently and rapidly evaluates medicine risk. Through the neural network, given medicine use data of large amount of people is trained, individual difference is fully cared, so that body conditions of patients can be rapidly determined, and medicine use safety is predicted and monitored in time.

Description

Technical field [0001] The invention relates to the technical field of home care for the elderly, in particular to an intelligent drug risk monitoring method and system. Background technique [0002] Any drug has side effects. On the one hand, drugs have therapeutic effects and on the other hand side effects. There are many types of drugs that have side effects on heart disease patients, and some drugs are not very stable. Therefore, people with heart disease must follow the doctor's advice when using drugs, and do not use them without authorization. However, some patients do not strictly follow the doctor's advice when taking the medicine, or do not return to the clinic or check up when their condition changes, and take one or more drugs for a long time, which leads to toxic side effects and even aggravates the original heart disease condition. Therefore, the detection of side effects caused by taking drugs becomes particularly important. Nowadays, wearable health devices are ...

Claims

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Application Information

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IPC IPC(8): A61B5/00A61B5/01A61B5/024A61B5/0476A61B5/11
CPCA61B5/00A61B5/01A61B5/024A61B5/11A61B5/4806A61B5/4872A61B5/369
Inventor 林格周毅谢宏宇肖泽锋谢智晖区肇婷刘海媚
Owner SUN YAT SEN UNIV
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