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BY-NC-ND 4.0 license Open Access Published by De Gruyter October 18, 2016

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

  • Jan Baumbach EMAIL logo , Alexander Bunkowski , Sita Lange , Timm Oberwahrenbrock , Nils Kleinbölting , Sven Rahmann and Jörg Ingo Baumbach

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.

Published Online: 2016-10-18
Published in Print: 2007-12-1

© 2007 The Author(s). Published by Journal of Integrative Bioinformatics.

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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