Method and device for discriminating asthma

Abstract

The embodiment of the invention provides a method and a device for judging asthma and relates to the technical field of data processing. The method comprises the steps of after obtaining the treatmentinformation of a patient, extracting the feature values of a plurality of preset features of the patient from the treatment information, inputting the feature values of the plurality of preset features of the patient into a linear classification model to determine the category of the patient. The linear classification model determines whether the patient suffers from asthma or not the plurality of preset features of the patient. Compared with a conventional method in the prior art that whether the patient suffers from asthma or not is diagnosed only according to symptoms or disease courses, the method is higher in accuracy. Meanwhile, a classification model can automatically determine whether the patient suffers from asthma or not according to the plurality of features of the patient. Therefore, the subjective influence of doctors is small, and the asthma judging efficiency is improved at the same time.

Description

technical field [0001] The embodiments of the present invention relate to the technical field of data processing, and in particular to a method and device for distinguishing asthma. Background technique [0002] Infantile asthma (infantile asthma) is a common pulmonary disease in children. It is a reversible and obstructive respiratory disease characterized by recurrent cough, wheezing and dyspnea, accompanied by airway hyperresponsiveness. Asthma is a common chronic respiratory disease that seriously endangers children's health. It has a high incidence rate and often presents as a recurrent chronic disease course, which seriously affects children's study, life and activities, and affects children's growth and development. Due to untimely or inappropriate treatment, many children with asthma eventually develop into adult asthma, protracted recovery, impaired lung function, and some children even completely lose their ability to perform physical activities. Severe asthma att...

AI Technical Summary

Problems solved by technology

[0003] When doctors diagnose children with asthma, they often ask about the medical history. Due to the lack of clinical indicators, different doctors will have different diagnostic results. This method is very restrictive and cannot be promoted.

However, for the diagnostic methods of testing children's lung function with various tools, there will be problems that children do not cooperate, and the accuracy of the test results is not very high.

In addition, there is a method of diagnosis based on the children's asthma diagnostic index system published by some organizations, using a scoring strategy. This method is not accurate, and it is very cumbersome, and it is not suitable for promotion.

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