Data Mining

Publication Title: 
Artificial Intelligence in Medicine

OBJECTIVE: Traditional Chinese medicine (TCM) is a scientific discipline, which develops the related theories from the long-term clinical practices. The large-scale clinical data are the core empirical knowledge source for TCM research. This paper introduces a clinical data warehouse (CDW) system, which incorporates the structured electronic medical record (SEMR) data for medical knowledge discovery and TCM clinical decision support (CDS).

Author(s): 
Zhou, Xuezhong
Chen, Shibo
Liu, Baoyan
Zhang, Runsun
Wang, Yinghui
Li, Ping
Guo, Yufeng
Zhang, Hua
Gao, Zhuye
Yan, Xiufeng
Publication Title: 
Zhongguo Zhen Jiu = Chinese Acupuncture & Moxibustion

Using data mining technology to analyze the application characteristics and laws of the meridian points in the treatment of post-stroke disorder with acupuncture and moxibustion in modern times. On the basis of the collection of the modern literatures about the treatment of post-stroke disorder with acupuncture and moxibustion, the database of acupuncture-moxibustion prescription was established.

Author(s): 
Wu, Liang-Ting
Li, Ying
Ren, Yu-Lan
Publication Title: 
Zhen Ci Yan Jiu = Acupuncture Research

OBJECTIVE: To analyze the application rules of the red-hot needle therapy to the treatment of neurological dysfunction related diseases in the ancient and modern clinical practice by data mining. METHODS: Modern literature data about the red-hot needle therapy in medical journals and partial medical books were collected to establish a "red-hot needling literature network database", followed by manually selecting its applicable illness spectrum of neurological dysfunction.

Author(s): 
Xu, Jing
Jia, Chun-Sheng
Wang, Jian-Ling
Shi, Jing
Publication Title: 
PloS One

BACKGROUND: Pharmacovigilance programmes monitor and help ensuring the safe use of medicines which is critical to the success of public health programmes. The commonest method used for discovering previously unknown safety risks is spontaneous notifications. In this study we examine the use of data mining algorithms to identify signals from adverse events reported in a phase IIIb/IV clinical trial evaluating the efficacy and safety of several Artemisinin-based combination therapies (ACTs) for treatment of uncomplicated malaria in African children.

Author(s): 
Kajungu, Dan K.
Erhart, Annette
Talisuna, Ambrose Otau
Bassat, Quique
Karema, Corine
Nabasumba, Carolyn
Nambozi, Michael
Tinto, Halidou
Kremsner, Peter
Meremikwu, Martin
D'Alessandro, Umberto
Speybroeck, Niko
Publication Title: 
Journal of Biomedical Informatics

Extracting meaningful information and knowledge from free text is the subject of considerable research interest in the machine learning and data mining fields. Text data mining (or text mining) has become one of the most active research sub-fields in data mining. Significant developments in the area of biomedical text mining during the past years have demonstrated its great promise for supporting scientists in developing novel hypotheses and new knowledge from the biomedical literature. Traditional Chinese medicine (TCM) provides a distinct methodology with which to view human life.

Author(s): 
Zhou, Xuezhong
Peng, Yonghong
Liu, Baoyan
Publication Title: 
BMC complementary and alternative medicine

BACKGROUND: Coronary heart disease (CHD) is a common cardiovascular disease that is extremely harmful to humans. In Traditional Chinese Medicine (TCM), the diagnosis and treatment of CHD have a long history and ample experience. However, the non-standard inquiry information influences the diagnosis and treatment in TCM to a certain extent. In this paper, we study the standardization of inquiry information in the diagnosis of CHD and design a diagnostic model to provide methodological reference for the construction of quantization diagnosis for syndromes of CHD.

Author(s): 
Liu, Guo-Ping
Li, Guo-zheng
Wang, Ya-Lei
Wang, Yi-Qin
Publication Title: 
Zhong Xi Yi Jie He Xue Bao = Journal of Chinese Integrative Medicine

This paper is devoted to discussing two research patterns of biological basis of traditional Chinese medicine syndrome and presenting a research strategy for data mining methods. It points out that data mining methods which are based on feature selection are better fit for investigating biological basis of traditional Chinese medicine syndrome. Based on such a discussion, the concept of "characteristic pattern" is proposed to bridge the gap between "golden index" and biological basis of traditional Chinese medicine syndrome.

Author(s): 
Chen, Jian-Xin
Zhao, Hui-hui
Wang, Wei
Publication Title: 
Zhong Xi Yi Jie He Xue Bao = Journal of Chinese Integrative Medicine

Study of traditional Chinese medicine (TCM) syndromes is a key to the research of TCM modernization, and the core is the classification and diagnostic criteria of syndromes. The purpose of this article is to review the usage of classification algorithms of data mining in TCM syndrome researches, and comprehensively analyze the main features of algorithms and their applications. The appropriate classification algorithm should be chosen according to different research purposes. Rough sets and cluster analysis are suitable for exploratory research without requiring a prior knowledge.

Author(s): 
Zhou, Min
Chu, Na
Li, Jie
Publication Title: 
Zhong Xi Yi Jie He Xue Bao = Journal of Chinese Integrative Medicine

OBJECTIVE: The primary aim of this research is to systematically sort out and analyze available clinical documents for chronic congestive heart failure in traditional Chinese medicine (TCM) and integrated traditional Chinese and Western medicine, and to explore the diagnosis and treatment rule of TCM syndrome factors with data mining method.

Author(s): 
Chen, Chan
Meng, Yong-mei
Zhang, Peng
Wang, Juan
Zhao, Hui-hui
Guo, Shu-zhen
Wang, Wei
Publication Title: 
Journal of Biomedical Informatics

Automatic diagnosis is one of the most important parts in the expert system of traditional Chinese medicine (TCM), and in recent years, it has been studied widely. Most of the previous researches are based on well-structured datasets which are manually collected, structured and normalized by TCM experts. However, the obtained results of the former work could not be directly and effectively applied to clinical practice, because the raw free-text clinical records differ a lot from the well-structured datasets.

Author(s): 
Wang, Yaqiang
Yu, Zhonghua
Jiang, Yongguang
Liu, Yongchao
Chen, Li
Liu, Yiguang

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