Medication decision support method and device based on graphic state machine
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A graphic state and decision support technology, applied in medicine or prescription, medicine reference, medical data mining, etc., can solve problems such as complex composition, unsuitable for public identification, and lagging
Active Publication Date: 2021-05-14
ZHEJIANG UNIV
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However, this decision support method is based on the "clinical rational drug use standard database", which is a static database structure, and there may be a slow response (stuck) problem in the actual use process; in addition, the patent method includes a variety of discrimination units , the composition is complicated, and a lot of information will pop up on the doctor's order interface. Too much information will easily interfere wi
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[0069]Next, the technical solutions in the embodiments of the present invention will be apparent from the drawings of the embodiments of the present invention, and it is clear, and it is clear that the described embodiments are merely the embodiments of the present invention, not all of the embodiments. Based on the embodiments in the present invention, those of ordinary skill in the art are in the range of the present invention without making creative labor premistence.
[0070]At present, with the basic solution of drug availability in my country, the quality and efficacy of drug quality and efficacy are gradually safe and reasonable, and it has become an important factor affecting the safety of public medication. Therefore, how to use a good drug is the key to solving the safety of public medication.
[0071]Based on this, the first aspect of the invention is to provide a method of administering a medication based on a graphic state machine, including:
[0072]S01: Get the user medication...
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Abstract
The invention provides a medication decision support method and device based on a graphic state machine. The method comprises the steps of: acquiring a medication consultation statement of the user; extracting a symptom information entity, an allergy information entity and a disease information entity in the medication consultation statement through word segmentation and semantic recognition; forming a graph state machine set which is high in response speed to a target event through three independent graph state machines; analyzing the incidence degree information in the medication consultation statement of the user by using a neural network model and an emotion word segmentation dictionary, and comparing the incidence degree information with the incidence degree information spoken by the user to obtain a corrected value of the incidence degree; removing excessive judgment or underestimated judgment, caused by user emotion factors, on the incidence degree through the correction value, and obtaining accurate incidence degree information; and achieving medication decision support aiming at accurate incidence degree information through the medication decision support device. According to the invention, intelligent judgment on the incidence degree irrelevant to the individual cognitive level of the patient can be realized, and the medication accuracy is improved.
Description
technical field [0001] The invention relates to the field of rational drug use, and more specifically relates to a graph state machine-based drug decision support method and device. Background technique [0002] Drugs refer to substances that are used to prevent, treat, and diagnose human diseases, purposefully regulate human physiological functions, and specify indications or functional indications, usage, and dosage, including Chinese medicinal materials, Chinese herbal pieces, Chinese patent medicines, and chemical raw materials. And its preparations, antibiotics, biochemical drugs, radiopharmaceuticals, serum, vaccines, blood products and diagnostic drugs, etc. As we all know, the application of medicines has played a positive role in improving the health of the people, but it must also be recognized that medicines have two sides. Among them, various factors such as the method of use, quantity, and time of medicines determine their therapeutic effects to a large extent. ...
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