Data integration to assist gastric emptying data analysis.
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 patient from different sources which has 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 laboratory tests. Moreover, we assess the feasibility of classifying gastric emptying profiles using both octanoid acid excretion data and electrogastrography.
Giacomini
M
M
DIST-Dept. of Communication Computer and System Sciences, University of Genova, Italy. giacomin@dist.unige.it
Ruggiero
C
C
Borro
P
P
Mansi
C
C
D000328:Adult; D019992:Databases as Topic; D003936:Diagnosis, Computer-Assisted; D004415:Dyspepsia / Q000175:diagnosis* / Q000503:physiopathology; D005240:Feasibility Studies; D005260:Female; D005746:Gastric Emptying / Q000502:physiology*; D006801:Humans; D008297:Male; D008432:Mathematical Computing; D008875:Middle Aged; D016571:Neural Networks, Computer; D011237:Predictive Value of Tests; D012016:Reference Values; D014584:User-Computer Interface