Anesthetic dosage determination method, model training method and model

Abstract

The invention provides an anesthetic dosage determination method, a model training method and a model. The method comprises the steps of collecting the current physical sign of an anesthetized person;and processing the current physical sign, the historical physical sign of the anesthetized person at the same historical moment and the historical dosage of the anesthetic drug through a preset anesthetic drug calculation model, and determining the current dosage of the anesthetic drug matched with the current physical sign. Due to the fact that the anesthetic drug has a residual effect in the body, the amount of the anesthetic drug needing to be injected at a certain moment needs to depend on the physical sign of the anesthetized person at the current moment and also needs to refer to the historical physical sign of the anesthetized person at the same historical moment and the historical dosage of the anesthetic drug. Therefore, by processing the current physical sign of the anesthetizedperson, the historical physical sign at the same historical moment and the historical dosage of the anesthetic drug, it can be determined that the current dosage of the anesthetic drug conforms to the dosage required by the current physical sign of the anesthetized person, so that the dosage of the anesthetic drug can be accurately predicted.

Description

technical field [0001] The present application relates to the technical field of anesthesia, in particular, to a method for determining the dosage of anesthetic drugs, a method for training a model, and a model. Background technique [0002] With the rapid development of machine learning technology, it has been applied to many fields such as image recognition, image processing, and user analysis. In the field of anesthesia, due to the scarcity of resources of anesthesiologists, attempts have been made to apply machine learning technology to the field of anesthesia. It uses machine learning instead of anesthesiologists to determine the amount of anesthesia used, so as to relieve the pressure of anesthesiologists due to the scarcity of resources. [0003] At present, most of the ways to determine the amount of anesthetic drugs used by machine learning are to train the model by collecting the signs of the anesthetized person at a certain moment during the anesthesia process, s...

AI Technical Summary

Problems solved by technology

Although this method can realize the automatic determination of the dosage of anesthetic drugs, the accuracy of prediction based on the signs at a certain moment is too poor, making it difficult to apply in practice

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