2010
DOI: 10.1016/j.artmed.2009.07.012
|View full text |Cite
|
Sign up to set email alerts
|

Development of traditional Chinese medicine clinical data warehouse for medical knowledge discovery and decision support

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
91
0

Year Published

2011
2011
2023
2023

Publication Types

Select...
8
2

Relationship

1
9

Authors

Journals

citations
Cited by 194 publications
(91 citation statements)
references
References 37 publications
0
91
0
Order By: Relevance
“…For example, research has shown that the evidence-based practice progress in nursing profession is not well embraced in china [24]. It is better developed and has a longer history in the medical disciplines, especially for physicians and other health technicians who are deployed at tertiary hospitals [25]. Consequently, most Chinese people prefer to visit tertiary hospitals due to better medical technology and perceived technical quality of the provider [26].…”
Section: Introductionmentioning
confidence: 99%
“…For example, research has shown that the evidence-based practice progress in nursing profession is not well embraced in china [24]. It is better developed and has a longer history in the medical disciplines, especially for physicians and other health technicians who are deployed at tertiary hospitals [25]. Consequently, most Chinese people prefer to visit tertiary hospitals due to better medical technology and perceived technical quality of the provider [26].…”
Section: Introductionmentioning
confidence: 99%
“…These traditional database systems are not well suitable to deal with statistical techniques and quick decisions. Moreover, it makes so redundant and surplus works [13]. In this paper, we focus to find a feasible solution for nurse scheduling system considering mentioned constraints and regulations based on data warehouse with online analytical processing (OLAP) techniques.…”
Section: Problem Definitionmentioning
confidence: 99%
“…Although many efforts have been made to standardize medical terms, currently there is no standard dataset for patterns and manifestations. In general, datasets have been generated by manual insertion of terms collected from literature (Ferreira, 2008;Ferreira, 2009, Ferreira, 2011 or by data mining algorithms (refer to Lukman et al, 2007 for a revision on mining methods applied to Chinese medicine; Zhou et al, 2010). Patterns on database must be mutually exclusive and collectively exhaustive (Harding, 1996), i.e., for each manifestation there is at least one possible pattern, and there is no pattern without manifestations.…”
Section: Dataset Of Computational Models For Pattern Differentiationmentioning
confidence: 99%