Health state identification method based on exhaled gas marker detection

Abstract

The invention discloses a health state identification method based on exhaled gas marker detection in the technical field of health state identification methods, and the method comprises the steps: carrying out the communication with a measuring instrument, obtaining a measurement sample factor, carrying out the standardization processing of the measurement sample factor, combining historical data, performing training by adopting a depth adjustment algorithm of a random forest decision tree to obtain an optimal algorithm model of the characteristic factors and the disease degrees, judging whether the algorithm model training effect reaches a set threshold value or not by adopting the optimal algorithm model, if so, quickly predicting the measurement sample in real time, and if not, carrying out model training again, and outputting results after measurement sample prediction. According to the method, the health state of the human body is identified, the limitations of invasiveness, injury, inapplicability to early diagnosis and the like of a traditional chronic obstructive pulmonary disease diagnosis method are overcome, the method can be used for early screening of COPD, diseases can be found as soon as possible, the COPD death rate is effectively reduced, and the method has important application value and wide application prospects.

Description

technical field [0001] The invention relates to the technical field of health status identification methods, in particular to a health status identification method based on the detection of exhaled gas markers, in particular to a working method for rapid prediction and identification of chronic obstructive pulmonary disease status. Background technique [0002] Chronic obstructive pulmonary disease (COPD, referred to as COPD) is chronic bronchitis and (or) emphysema with airflow obstruction characteristics, and is a common and frequently occurring respiratory disease in the world. COPD can easily lead to pulmonary Decreased function, shortness of breath, cough, sputum production, multiple complications, and even death, although progress has been made in the treatment of COPD clinical symptoms and the relief of acute exacerbations, the progress in controlling its high mortality and medical costs has been slow. Pulmonary function tests (spirometry) are the current standard of ...

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Problems solved by technology

[0002] Chronic obstructive pulmonary disease (COPD, referred to as COPD) is chronic bronchitis and (or) emphysema with airflow obstruction characteristics, and is a common and frequently occurring respiratory disease in the world. COPD can easily lead to pulmonary Decreased function, shortness of breath, cough, sputum production, multiple complications, and even death, although progress has been made in the treatment of COPD clinical symptoms and acute exacerbation relief, but slow progress in controlling its high mortality and medical costs

Pulmonary function tests (spirometry) are the current standard of care for the diagnosis of COPD; however, some patients cannot adapt to this invasive method and do not provide satisfactory results, especially in children or the very elderly. The accuracy will be greatly reduced; in addition, because the early COPD respiratory symptoms are not obvious in the clinical manifestations, the current inspection method has the risk of being unable to make a comprehensive and accurate diagnosis of COPD, and the early diagnosis and treatment of COPD can not only significantly reduce the death of COPD patients rate, but also can significantly reduce the economic burden of the disease treatment, therefore, in order to break through the limitations of the above-mentioned traditional COPD diagnostic methods, we propose a health status identification method based on the detection of exhaled gas markers

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