Clustering of Rotavirus Based on KNN-kernel Function
10.16466/j.issn1005-5509.2015.08.011
- VernacularTitle:基于KNN核函数聚类的轮状病毒统计分析
- Author:
Huaping XU
- Publication Type:Journal Article
- Keywords:
diarrhea;
rotavirus;
children;
KNN-kernel function;
nonparametric clustering;
early diagnosis
- From:
Journal of Zhejiang Chinese Medical University
2015;(8):612-614
- CountryChina
- Language:Chinese
-
Abstract:
Objective] To discuss application of KNN-kernel clustering methods for diarrhea patients serum immune indexes detection data classification and diagnosis of applicability and clinical significance. [Methods] To reveal the applicability and clinical signnificance of KNN-kernel function clustering method in the diagnosis of serun immune index. In this research, the KNNCLUST algorithm is used to program the serum immune index data of 74 patients with diarrhea by Matlab software. [Results] 74 patients were divided into 5 categories by cluster analysis. The patients with diarrhea were divided into rotavirus negative and positive class, and the patients were further subdivided, especially the three early rotavirus tests were negative but later confirmed positive and were clustered into one group. [Conclusions] This can be seen that the KNN-kernel clustering method is helpful for early screening of rotavirus infection, practical clinical significance on the early treatment of disease.
