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Breath Multi Analysis: a database to collect data on gastric related non invasive analysis
Mauro Giacomini1, Ilaria Peragallo, Stefania Bertone
1Dept. Of Communication Computer and System Sciences, University of Genova, Via Opera Pia 13, 16145 Genova, Italy. giacomin@dist.unige.it
Abstract:
The diagnosis of dyspepsia is very difficult because the symptoms are clinically aspecific and the gastric emptying time tests are of complex interpretation. An integrated and automated analysis of clinical and instrumental data may improve the diagnostic process. We present a system to collect data on dyspeptic patients from different sources which have been set up to assist the clinician in the diagnosis of dyspepsia. The data base integrates a wide set of symptoms with data coming from non invasive laboratory tests. Moreover, we assess the feasibility of considering the same methods for collecting data also for adsorption problems and for hepatic problems.