Application of artificial intelligence diagnosis mode in bronchial asthma early diagnosis

Abstract

The invention relates to a method for artificial intelligence early diagnosis of bronchial asthma. The method comprises the following steps: T1, an artificial intelligence early diagnosis bronchial asthma intelligent terminal and an artificial intelligence early diagnosis bronchial asthma data acquisition device establish communication; T2, the artificial intelligence early diagnosis bronchial asthma intelligent terminal commands the artificial intelligence early diagnosis bronchial asthma data acquisition device to acquire data; T3, the artificial intelligence early diagnosis bronchial asthmadata acquisition device inputs the acquired data into trained feature extraction; T4, the artificial intelligence early diagnosis bronchial asthma data acquisition device measures and calculates theacquired data and acquires asthma information; and T5, the artificial intelligence early diagnosis bronchial asthma data acquisition device generates an artificial intelligence early diagnosis bronchial asthma report based on the asthma information and sends the report to the artificial intelligence early diagnosis bronchial asthma intelligent terminal. The method improves the diagnosis rate of asthma, achieves early discovery, early diagnosis and early treatment, improves asthma prognosis, and reduces the burden of diseases.

Description

technical field [0001] The invention relates to the field of information technology, in particular to the application of an artificial intelligence diagnosis model in the early diagnosis of bronchial asthma. Background technique [0002] At present, there are at least 300 million asthma patients in the world, and the number of patients is increasing year by year. Recent epidemiological surveys show that the prevalence of asthma in adults over the age of 20 in China is as high as 4.2%, and the number of patients is about 45.7 million. Among the asthmatic patients under investigation, only 28.8% are diagnosed. This phenomenon accounts for It is especially common in mild asthma, which accounts for 75% to 77% of all asthma. [0003] Due to the complexity of pulmonary function parameters and the low sensitivity and specificity of a single index, even senior specialists in tertiary hospitals still have insufficient ability to read pulmonary function. At the same time, due to the...

AI Technical Summary

Problems solved by technology

[0005] Currently, the diagnostic criteria that must be met for a definite diagnosis of asthma in terms of variable airflow limitation include a positive of any of the following: positive bronchial challenge test, positive bronchodilation test, or positive relaxation test after 1-3 months of inhaled glucocorticoid anti-inflammatory treatment However, due to factors such as high risk, inconvenient operation, high quality control requirements, risk of inducing acute exacerbations, and the provocation reagent methacholine has not yet passed the certification of the China Food and Drug Administration, it cannot be routinely performed in many secondary and tertiary hospitals. carried out while bronchodilation testing was performed in the FEV 1 Positive rate was high in 1 The positive rate in patients with normal mild asthma or cough variant asthma is less than 10%, and the diastolic test is positive after 1-3 months of anti-inflammatory treatment. Due to the need for treatment follow-up and glucocorticoid inhalation, most specialists and grassroots doctors lack Certain operability, it is easy to cause excessive use of hormones