Breath Multi Analysis: a database to collect data on gastric related non invasive analysis.
Identifieur interne : 002016 ( Main/Exploration ); précédent : 002015; suivant : 002017Breath Multi Analysis: a database to collect data on gastric related non invasive analysis.
Auteurs : Mauro Giacomini [Italie] ; Ilaria Peragallo ; Stefania Bertone ; Carmelina RuggieroSource :
- Studies in health technology and informatics [ 0926-9630 ] ; 2002.
Descripteurs français
- Wicri :
- geographic : Italie.
English descriptors
- KwdEn :
- MESH :
- geographic : Italy.
- diagnosis : Dyspepsia.
- Breath Tests, Data Collection, Database Management Systems, Humans.
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.
PubMed: 15460724
Affiliations:
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Le document en format XML
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<author><name sortKey="Giacomini, Mauro" sort="Giacomini, Mauro" uniqKey="Giacomini M" first="Mauro" last="Giacomini">Mauro Giacomini</name>
<affiliation wicri:level="1"><nlm:affiliation>Dept. Of Communication Computer and System Sciences, University of Genova, Via Opera Pia 13, 16145 Genova, Italy. giacomin@dist.unige.it</nlm:affiliation>
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<author><name sortKey="Ruggiero, Carmelina" sort="Ruggiero, Carmelina" uniqKey="Ruggiero C" first="Carmelina" last="Ruggiero">Carmelina Ruggiero</name>
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<series><title level="j">Studies in health technology and informatics</title>
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<front><div type="abstract" xml:lang="en">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.</div>
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<tree><noCountry><name sortKey="Bertone, Stefania" sort="Bertone, Stefania" uniqKey="Bertone S" first="Stefania" last="Bertone">Stefania Bertone</name>
<name sortKey="Peragallo, Ilaria" sort="Peragallo, Ilaria" uniqKey="Peragallo I" first="Ilaria" last="Peragallo">Ilaria Peragallo</name>
<name sortKey="Ruggiero, Carmelina" sort="Ruggiero, Carmelina" uniqKey="Ruggiero C" first="Carmelina" last="Ruggiero">Carmelina Ruggiero</name>
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<country name="Italie"><noRegion><name sortKey="Giacomini, Mauro" sort="Giacomini, Mauro" uniqKey="Giacomini M" first="Mauro" last="Giacomini">Mauro Giacomini</name>
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