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Respiratory knowledge discovery utilising expertise
Citation
Ling, TR, Respiratory knowledge discovery utilising expertise, Australasian Medical Journal, 5, (12) pp. 609-618. ISSN 1836-1935 (2012) [Refereed Article]
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Copyright Statement
Copyright 2012 Australasian Medical Journal
DOI: doi:10.4066/AMJ.2012.1354
Abstract
Background
Significant amounts of medical data are being archived, in
the hope that they can be analysed and provide insight. A
critical problem with analysing such data is the amount of
existing knowledge required to produce effective results.
Aims
This study tests a method that seeks to overcome these
problems with analysis, by testing it over a large set of
archived lung function test results. A knowledge base of
lung function interpretation expertise has been compiled
and serves as a base for analysis.
Method
A user examines the dataset with the assistance of the
knowledge discovery tool. Two pertinent respiratory
research questions are analysed (the relative correlation
between diffusing capacity and FEV1 or FVC bronchodilator
response, and the effects of BMI on various parameters of
lung function), and the results compared and contrasted
with relevant literature.
Results
The method finds interesting results from the lung function
data supporting and questioning other published studies,
while also finding correlations that suggest further areas of
research.
Conclusion
While the analysis does not necessarily reveal
groundbreaking information, it shows that the method can
successfully discover new knowledge and is useful in a research context.
Item Details
Item Type: | Refereed Article |
---|---|
Keywords: | Lung function, knowledge discovery, knowledge acquisition, data mining, MCRDR |
Research Division: | Information and Computing Sciences |
Research Group: | Software engineering |
Research Field: | Software engineering not elsewhere classified |
Objective Division: | Health |
Objective Group: | Clinical health |
Objective Field: | Clinical health not elsewhere classified |
UTAS Author: | Ling, TR (Dr Tristan Ling) |
ID Code: | 86127 |
Year Published: | 2012 |
Deposited By: | Pharmacy |
Deposited On: | 2013-08-26 |
Last Modified: | 2018-03-30 |
Downloads: | 0 |
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