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Research on exploring the patients' hiding disease based on symptom weighted clustering technique

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成果类型:
期刊论文
作者:
Yingying Peng;Gang Yi
通讯作者:
Yi, G.
作者机构:
[Yingying Peng; Peng Y.] School of Management and Information Engineering, Hunan University of Chinese Medicine, Changsha, Hunan, 410208, China
通讯机构:
[Yi, G.] S
School of Management and Information Engineering, Hunan University of Chinese Medicine, Changsha, Hunan, China
语种:
英文
关键词:
Clustering;Data mining;Disease;Symptom weighted
期刊:
International Journal BIOautomation
ISSN:
1314-1902
年:
2018
卷:
22
期:
3
页码:
263-274
基金类别:
This work is supported by the Planned Science and Technology Project of Hunan Province of China (2013FJ3022).
机构署名:
本校为第一且通讯机构
院系归属:
信息科学与工程学院
摘要:
The research regards the diagnostic data of the patients' disease as the mining data source. Each diagnostic data includes patients' symptom and sickness. The paper regards a certain patient as the mining target, considering the symptom weighted situation, using the clustering method in the data mining to dig the tendency of patients' disease. In addition, the paper combines a group center formed by the patients' symptom and designs a symptom weighted clustering method to satisfy the diagnostic data of minimal symptom similarity which belongs t...

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