Asthma diagnosis system based on decision tree and improved SMOTE algorithm

A diagnosis system and decision tree technology, applied in the field of asthma diagnosis system, can solve the problems of medical staff fatigue, large number of patients, and incorrect clinical diagnosis ideas, and achieve the effect of reducing medical pressure and fast diagnosis time.

Active Publication Date: 2021-06-11
JIANGSU UNIV
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AI Technical Summary

Problems solved by technology

Commonly used methods to assess the condition of asthma, such as sputum smear observation of eosinophils, lung function (SPIR) and impulse oscillation measurement (IOS), are difficult to detect, time-consuming, laborious, and expensive
The above detection methods require a large number of practitioners with professional knowledge and diagnostic experience, but the number of patients is large and the number of practitioners is relatively small
This will bring great fatigue to medical staff, and even

Method used

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  • Asthma diagnosis system based on decision tree and improved SMOTE algorithm
  • Asthma diagnosis system based on decision tree and improved SMOTE algorithm
  • Asthma diagnosis system based on decision tree and improved SMOTE algorithm

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Embodiment Construction

[0059] In order to make the technical solution of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0060] like figure 1 As shown, the present invention discloses a data collection and processing module, an oversampling processing module, a decision tree training module, a detection module and a diagnostic application module; The data is cleaned of missing values, filled with missing values ​​or re-fetched, deleted content that does not conform to the data, and removed duplicate values ​​or unreasonable values ​​to ensure correct correlation processing between data; discrete data is processed by One-Hot encoding; Processed data input oversampling processing module; as a preferred embodiment of the present invention, t...

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Abstract

The invention belongs to the field of data mining, and particularly relates to an asthma diagnosis system based on a decision tree and an improved SMOTE algorithm. According to the method, blood routine data and blood routine examination data of an asthma patient are utilized, the sampling rate of an SMOTE oversampling technology is optimized by adopting a particle swarm optimization algorithm, an improved SMOTE oversampling technology is obtained, and modeling diagnosis is performed on the data by utilizing a decision tree. Whether the patient suffers from the asthma or not can be automatically diagnosed according to the blood routine examination data of the patient, the influence caused by fatigue of a doctor, misjudgment or insufficient experience is reduced, and meanwhile the efficiency of diagnosing the asthma is improved.

Description

technical field [0001] The invention relates to the field of data mining, in particular to an asthma diagnosis system based on a decision tree and an improved SMOTE algorithm. Background technique [0002] Bronchial asthma (asthma for short) is a chronic inflammatory disease of the airway that involves a variety of cells (such as eosinophils, mast cells, T lymphocytes, neutrophils, airway epithelial cells, etc.) and cell components. Asthma belongs to the chronic strain inflammatory response of the airway. The clinical manifestations of patients with acute exacerbation are repeated wheezing, dyspnea, chest tightness and cough, and decreased exercise tolerance accompanied by airway hyperresponsiveness and obstruction. Asthma is a chronic respiratory disease that seriously endangers human health. It has a high incidence and cannot be cured. Seriously affected the normal work and life of patients. Many patients do not receive timely treatment or the treatment method is wrong, ...

Claims

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Application Information

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IPC IPC(8): G16H50/20G16H50/70G06K9/62
CPCG16H50/20G16H50/70G06F18/23213Y02A90/10
Inventor 刘志锋马芽崔玉宝陈文夏莉敏周从华
Owner JIANGSU UNIV
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