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Tuesday, June 27th, 2017
Table of Contents

1 Introduction
5 PMID
 [F] Diseases Research  / PubMed Research Articles  /
Multistage analysis method for detection of effective herb prescription from clinical data.

PubMed

 

Resource

Frontiers of medicine 2017 Jun 17; ()

Authors

Yang K1; Zhang R2; He L3; Li Y4; Liu W5; Yu C6; Zhang Y7; Li X8; Liu Y9; Xu W10; Zhou X11; Liu B12;

Author Information
  • 1School of Computer and Information Technology and Beijing Key Lab of Traffic Data Analysis and Mining, Beijing Jiaotong University, Beijing, 100044, China.
  • 2Guanganmen Hospital, China Academy of Chinese Medical Sciences, Beijing, 100053, China.
  • 3Institute of Basic Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, 100700, China.
  • 4School of Computer and Information Technology and Beijing Key Lab of Traffic Data Analysis and Mining, Beijing Jiaotong University, Beijing, 100044, China.
  • 5School of Computer and Information Technology and Beijing Key Lab of Traffic Data Analysis and Mining, Beijing Jiaotong University, Beijing, 100044, China.
  • 6Institute of Basic Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, 100700, China.
  • 7Institute of Basic Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, 100700, China.
  • 8Institute of Basic Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, 100700, China.
  • 9Data Center of Traditional Chinese Medicine, China Academy of Chinese Medical Sciences, Beijing, 100700, China.
  • 10Institute of Basic Theory of Traditional Chinese Medicine, China Academy of Chinese Medical Sciences, Beijing, 100700, China.
  • 11School of Computer and Information Technology and Beijing Key Lab of Traffic Data Analysis and Mining, Beijing Jiaotong University, Beijing, 100044, China. xzzhou@bjtu.edu.cn.
  • 12Data Center of Traditional Chinese Medicine, China Academy of Chinese Medical Sciences, Beijing, 100700, China. liuby@mail.cintcm.ac.cn.

Abstract

Determining effective traditional Chinese medicine (TCM) treatments for specific disease conditions or particular patient groups is a difficult issue that necessitates investigation because of the complicated personalized manifestations in real-world patients and the individualized combination therapies prescribed in clinical settings. In this study, a multistage analysis method that integrates propensity case matching, complex network analysis, and herb set enrichment analysis was proposed to identify effective herb prescriptions for particular diseases (e.g., insomnia). First, propensity case matching was applied to match clinical cases. Then, core network extraction and herb set enrichment were combined to detect core effective herb prescriptions. Effectiveness-based mutual information was used to detect strong herb-symptom relationships. This method was applied on a TCM clinical data set with 955 patients collected from well-designed observational studies. Results revealed that groups of herb prescriptions with higher effectiveness rates (76.9% vs. 42.8% for matched samples; 94.2% vs. 84.9% for all samples) compared with the original prescriptions were found. Particular patient groups with symptom manifestations were also identified to help investigate the indications of the effective herb prescriptions.



PMID

28623541

Others

Publication Type: Journal Article


This article is licensed under the the National Library of Medicine License. It uses material from the PubMed National Library of Medicine Data.


Last Modified:   2016-03-27


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