title: Detection of delayed gastric emptying from electrogastrograms with support vector machine.
abstract: A recent study reported a conventional neural network (NN) approach for the noninvasive diagnosis of delayed gastric emptying from the cutaneous electrogastrograms. Using support vector machine, we show that this relatively new technique can be used for detection of delayed gastric emptying and is in fact able to outdo the conventional NN.
authors.affiliation: Center for Complex Systems, Florida Atlantic University, Boca Raton 33431, USA. liang@walt.ccs.fau.edu
authors.forename: H
authors.initials: H
authors.lastname: Liang
authors.forename: Z
authors.initials: Z
authors.lastname: Lin
mesh_terms: D000465:Algorithms; D003936:Diagnosis, Computer-Assisted; D004594:Electrophysiology; D005746:Gastric Emptying; D006801:Humans; D008954:Models, Biological; D016571:Neural Networks, Computer; D013272:Stomach Diseases / Q000175:diagnosis*