Enhanced laboratory diagnosis of human chlamydia pneumoniae infection through pattern recognition derived from pathology database analysis

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. PRIB 2008 proceedings found at: http://dx.doi.org/10.1007/978-3-540-88436-1

Contributors: Monash University. Faculty of Information Technology. Gippsland School of Information Technology ;
Chetty, Madhu ;
Ahmad, Shandar ;
Ngom, Alioune ;
Teng, Shyh Wei ;
Third IAPR International Conference on Pattern Recognition in Bioinformatics (PRIB) (3rd : 2008 : Melbourne, Australia) ;
Coverage:
Rights: Copyright by Third IAPR International Conference on Pattern Recognition in Bioinformatics. All rights reserved.

本研究聚焦于针对肺炎衣原体（Chlamydia pneumoniae, Cp）感染患者采集的病理数据中的模式识别任务，同时纳入肺炎支原体（Mycoplasma pneumoniae, Myco）合并感染的相关分析。Cp与Myco均为可使部分感染者罹患呼吸系统疾病的微生物。除可揭示患者感染状态的免疫检测结果外，每位患者还附带多套完整的常规病理检测数据，借此可分析Cp或Myco免疫检测实验室结果呈阳性，与一系列生化及细胞标志物检测指标（例如肝酶、电解质平衡、红细胞/白细胞计数等血液学指标）之间的关联。本研究采用决策树（Decision trees）与逻辑回归（logistic regression）方法，通过从免疫检测结果及关联病理数据中推导关联规则，以提升这类呼吸道感染的实验室诊断效能。本研究收录于2008年国际模式识别生物信息学（PRIB 2008）会议论文集，可通过以下链接获取：http://dx.doi.org/10.1007/978-3-540-88436-1

贡献说明：
贡献单位：莫纳什大学（Monash University）信息技术学院吉普斯兰信息科技学院；
贡献者：切蒂·马杜（Chetty, Madhu）、艾哈迈德·尚达尔（Ahmad, Shandar）、恩戈姆·阿利奥内（Ngom, Alioune）、滕·史伟（Teng, Shyh Wei）；
本数据集源自第三届国际模式识别生物信息学协会（IAPR）国际会议（2008年，澳大利亚墨尔本）。
覆盖范围：
版权声明：版权归第三届国际模式识别生物信息学会议所有，保留所有权利。