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Health state identification method based on exhaled gas marker detection

A recognition method and technology of health status, applied in health index calculation, character and pattern recognition, instruments, etc., can solve the problems of reducing the mortality rate of COPD patients, reducing the economic burden of disease treatment, and reducing accuracy, so as to reduce the mortality rate of COPD , Sampling on-line rapid diagnosis, convenient and fast sampling effect

Pending Publication Date: 2021-11-09
SOUTH CHINA INST OF ENVIRONMENTAL SCI MEP
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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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  • Health state identification method based on exhaled gas marker detection
  • Health state identification method based on exhaled gas marker detection
  • Health state identification method based on exhaled gas marker detection

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Embodiment Construction

[0022] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0023] see figure 1 , the present invention provides a technical solution: a health status identification method based on the detection of exhaled gas markers, the steps of the identification method are:

[0024] S1: communicate with the measuring instrument to obtain the measurement sample factor;

[0025] S2: standardize the measurement sample factor;

[0026] S3: Combining with historical data, the depth adjustment algorithm of random forest decision tree...

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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 ...

Claims

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Application Information

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IPC IPC(8): G16H50/20G16H50/30G06K9/62
CPCG16H50/20G16H50/30G06F18/24323
Inventor 黄忠辉谢丹平聂鹏刘旺贺辉杨迪黄钟坤康同曦蒋炜玮
Owner SOUTH CHINA INST OF ENVIRONMENTAL SCI MEP
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