@Article{Baumbach:Bunkowski:IMS2:2007,
    author =  	{Baumbach, Jan and Bunkowski, Alexander and Lange, Sita and 
		 Oberwahrenbrock, Timm and Kleinbölting, Nils and Rahmann, 
		 Sven and Baumbach, Jörg Ingo},
    title = 	{IMS2 -- An integrated medical software system for early lung 
		 cancer detection using ion mobility spectrometry data of human 
		 breath},	
    journal = 	{Journal of Integrative Bioinformatics},
    year = 	{2007},
    volume = 	{4},
    number = 	{3},
    pages = 	{75},
    user = 	{sita}, 
    doi = 	{doi:10.2390/biecoll-jib-2007-75},
    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.}
}