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IMS2 -- An integrated medical software system for early lung cancer detection using ion mobility spectrometry data of human breath

Baumbach, Jan ; Bunkowski, Alexander ; Lange, Sita ; Oberwahrenbrock, Timm ; Kleinbölting, Nils ; Rahmann, Sven ; Baumbach, Jörg Ingo

Journal of Integrative Bioinformatics - JIB (ISSN 1613-4516)


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Abstract:
IMS2 is an Integrated Medical Software system for the analysis of Ion Mobility Spectrometry (IMS) data. It assists medical staff with the following IMS data processing steps: acquisition, visualization, classification, and annotation. IMS2 provides data analysis and interpretation features on the one hand, and also helps to improve the classification by increasing the number of the pre-classified datasets on the other hand. It is designed to facilitate early detection of lung cancer, one of the most common cancer types with one million deaths each year around the world. After reviewing the IMS technology, we first describe the software architecture of IMS2 and then the integrated classification module, including necessary pre-processing steps and different classification methods. The Lung Hospital Hemer (Germany) provided IMS data of 35 patients suffering from lung cancer and 72 samples of healthy persons. IMS2 correctly classifies 99% of the samples, evaluated using 10-fold cross-validation.


Institution: Faculty of Technology, Research Groups in Informatics
DDC classification: Data processing, computer science, computer systems

Suggested Citation:
Baumbach, Jan ; Bunkowski, Alexander ; Lange, Sita ; Oberwahrenbrock, Timm ; Kleinbölting, Nils ; Rahmann, Sven ; Baumbach, Jörg Ingo  (2007)  IMS2 -- An integrated medical software system for early lung cancer detection using ion mobility spectrometry data of human breath. Journal of Integrative Bioinformatics - JIB (ISSN 1613-4516), 4(3), 2007. Special Issue: 4th Integrative Bioinformatics Workshop, Gent, Belgium

Online-Journal: http://journal.imbio.de/index.php?paper_id=75
URL: http://biecoll.ub.uni-bielefeld.de/volltexte/2007/256



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