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Method and system for extracting risk factors of gastroesophageal reflux disease based on distributed clustering

A technology of gastroesophageal reflux and risk factors, which is applied in the field of risk factor extraction of gastroesophageal reflux disease based on distribution clustering, can solve the problem of low accuracy of risk factor extraction and achieve the effect of reducing the incidence rate

Inactive Publication Date: 2019-03-22
南京市中西医结合医院
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Problems solved by technology

[0004] The purpose of the present invention is to provide a method and system for extracting risk factors of gastroesophageal reflux disease based on distribution clustering

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  • Method and system for extracting risk factors of gastroesophageal reflux disease based on distributed clustering
  • Method and system for extracting risk factors of gastroesophageal reflux disease based on distributed clustering
  • Method and system for extracting risk factors of gastroesophageal reflux disease based on distributed clustering

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Embodiment 1

[0047] figure 1 It is a schematic flow chart of the method for extracting gastroesophageal reflux disease risk factors based on distribution clustering in an embodiment of the present invention, as figure 1 As shown, the method for extracting risk factors of gastroesophageal reflux disease based on distribution clustering provided by the embodiment of the present invention specifically includes the following steps.

[0048] Step 101: Construct a user information set; the user information set is a data set with M rows and N columns; the factor in the i-th row and the first column in the user information set is the ID number of the user questionnaire, and the factors in the first column in different rows Factors are represented as different user questionnaire ID numbers; the factors in the first row and column j of the user information set are questionnaire questions, and the factors in the first row in different columns are expressed as different questions; the user information...

Embodiment 2

[0109] To achieve the above object, the present invention also provides a figure 2 The distributional clustering-based extraction system for risk factors for gastroesophageal reflux disease is shown. The system includes:

[0110] The user information set construction module 100 is used to construct the user information set; the user information set is a data set of M rows and N columns; the factor in the i-th row and the first column in the user information set is the user questionnaire ID number, and different The factors in the first column in the row are represented as different user questionnaire ID numbers; the factors in the first row and column j in the user information set are the questions of the questionnaire, and the factors in the first row in different columns are represented as different questions ; The i-th row and j-th column factor in the user information set is the answer of the i-th user questionnaire ID number to the j-th question; wherein, 2≤i≤M, 2≤j≤N, ...

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Abstract

The invention discloses a method and system for extracting risk factors of a gastroesophageal reflux disease based on distributed clustering. The method comprises the steps: firstly constructing a user information set including risk factors of the gastroesophageal reflux disease; secondly quantifying the user information set to obtain a quantified data set, and storing the quantified data in an HDFS distributed file system of a Hadoop big data analysis platform to form a sequence file; thirdly using the MapReduce computing framework of the Hadoop big data analysis platform, the K-means clustering algorithm and the Canopy clustering algorithm to cluster the stored data to obtain multiple clusters; finally, calculating the correlation index of all elements in each cluster, and determining the element with the largest relevant index as a risk factor for the gastroesophageal reflux disease. The invention utilizes a distributed framework and an improved K-means clustering algorithm to efficiently and accurately screen out risk factors for causing the gastroesophageal reflux disease and reduces the incidence rate.

Description

technical field [0001] The invention relates to the field of clustering and medical technology, in particular to a method and system for extracting risk factors of gastroesophageal reflux disease based on distribution clustering. Background technique [0002] Gastroesophageal reflux disease is a common digestive system disease worldwide, and its incidence is showing an increasing trend year by year. Therefore, the treatment of gastroesophageal reflux disease should arouse our sufficient attention. Since the occurrence of gastroesophageal reflux disease is closely related to lifestyle, emotional changes, eating habits, etc., and the condition is easily changed, collecting a large amount of data and analyzing the characteristics of the data plays an important role in the study of the disease and its prevention. [0003] At present, in the diagnosis technology of gastroesophageal reflux disease, the clustering algorithm is mainly used to extract risk factors, but the selection...

Claims

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Application Information

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IPC IPC(8): G16H10/20G16H50/70G06F16/35
CPCG16H10/20G16H50/70
Inventor 刘万里徐雷黄玉珍姚澜李荣臻夏吉安
Owner 南京市中西医结合医院
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