Gaussian fuzzy clustering computing method for differentiating and diagnosing chronic bronchitis

A chronic bronchitis and differential diagnosis technology, applied in the field of Gaussian fuzzy clustering calculation, can solve the problems of no theoretical verification process and lack of persuasion

Inactive Publication Date: 2018-01-05
陆维嘉
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Problems solved by technology

In traditional clustering algorithms, the fuzzy weighting parameter m is often directly assigned a ...

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  • Gaussian fuzzy clustering computing method for differentiating and diagnosing chronic bronchitis
  • Gaussian fuzzy clustering computing method for differentiating and diagnosing chronic bronchitis
  • Gaussian fuzzy clustering computing method for differentiating and diagnosing chronic bronchitis

Examples

Experimental program
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Embodiment 1

[0066] Embodiment one: further classification to chronic bronchitis disease

[0067] Step S301, use the hierarchical clustering algorithm to calculate the initial number of clusters, first use the hierarchical clustering function that comes with the matlab software to divide the samples into k categories, where k satisfies 5Cmax>k>2Cmax, in order to reduce the impact of outliers on the clustering results impact, we then filter out the cluster centers with fewer samples in the previous step, and then use the hierarchical clustering function that comes with matlab software to divide the samples into C max class, C max It is the size of the initial clustering center, and the obtained clustering result is the initial clustering center V 0 .

[0068] Step S302, select the initial cluster center with the largest number of samples as the cluster center, the specific steps are to calculate the initial cluster center V 0 The number of samples contained in each cluster, the one with ...

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Abstract

The invention relates to a Gaussian fuzzy clustering computing method for differentiating and diagnosing chronic bronchitis. The method comprises the steps of obtaining inspection data of diagnosed chronic bronchitis patients from an electronic medical record system; calculating the initial clustering number through utilization of a hierarchical clustering algorithm; randomly selecting a clustering center according to the initial clustering number; mapping the clustering center and samples to a Hilbert space through mapping; calculating a membership matrix of the samples according to the clustering center in the Hilbert space; calculating a new clustering center through utilization of the calculated membership matrix; continuously and iteratively calculating the membership matrix and the clustering center until the change of the clustering center is smaller than a threshold value; calculating clustering granularity values according to the obtained clustering centers; circulating all initial clustering numbers and carrying out the steps; and taking the clustering center with the minimum granularity value as a final clustering result. The method can be used for finely classifying chronic bronchitis symptoms, and certain facilitation for diagnosing the chronic bronchitis is provided.

Description

technical field [0001] The invention relates to a Gaussian fuzzy clustering calculation method for differential diagnosis of chronic bronchitis. technical background [0002] Chronic bronchitis is considered to be nonspecific inflammation in the tissues surrounding the trachea and bronchi. Clinical practice shows that the further subdivision of chronic bronchitis is of great significance for the diagnosis and treatment of the disease. According to the different characteristics of the disease and whether there are complications, chronic bronchitis can be further diagnosed as chronic bronchitis with respiratory tract infection, simple chronic bronchitis, chronic bronchitis with emphysema, mucopurulent bronchitis, etc. . The further clinical classification of chronic bronchitis often comes from the doctor's clinical experience and subjective judgment, which often has the disadvantage of being too subjective. Therefore, an intelligent algorithm is used to analyze the clinical ...

Claims

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Application Information

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IPC IPC(8): G06F19/00G06F17/30
Inventor 陆维嘉
Owner 陆维嘉
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