This study focuses on pattern recognition in pathology data collected from patients tested for Chlamydia pneumoniae (Cp) infection, with co-infection by Mycoplasma pneumoniae (Myco) also considered. Both Cp and Myco are microbes that cause respiratory disease in some infected people. As well as the immunoassay results revealing whether the patient had been infected, or not, an extensive range of other routine pathology data was also available for each patient, allowing the analysis of associations between a positive immunoassay laboratory result for Cp or Myco, and a range of tests for biochemical and cellular markers (e.g. liver enzymes, electrolyte balance, haematological indices such as red/white cell counts). Decision trees and logistic regression were used to enhance laboratory diagnosis of these respiratory infections via the formulation of association rules derived from immunoassay results and associated pathology data.
|Title of host publication||Supplementary Proceedings of the Third IAPR International Conference on Pattern Recognition in Bioinformatics (PRIB 2008)|
|Editors||Madhu Chetty, Shandar Ahmad, Alioune Ngom, Shyh Wei Teng|
|Place of Publication||Australia|
|Publisher||Third IAPR International Conference on Pattern Recognition in Bioinformatics|
|Number of pages||8|
|Publication status||Published - 2008|
|Event||PRIB 2008 - Melbourne, Australia|
Duration: 15 Oct 2008 → 17 Oct 2008
|Period||15/10/08 → 17/10/08|
Richardson, A., Hawkins, S., Shadabi, F., Sharma, D., Fulcher, J., & Lidbury, B. (2008). Enhanced Laboratory Diagnosis of Human Chlamydia Pneumoniae Infection through Patter Recognition Derived from Pathology Database Analysis. In M. Chetty, S. Ahmad, A. Ngom, & S. W. Teng (Eds.), Supplementary Proceedings of the Third IAPR International Conference on Pattern Recognition in Bioinformatics (PRIB 2008) (pp. 227-234). Australia: Third IAPR International Conference on Pattern Recognition in Bioinformatics.