Literature DB >> 11341535

Detection of delayed gastric emptying from electrogastrograms with support vector machine.

H Liang1, Z Lin.   

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.

Mesh:

Year:  2001        PMID: 11341535     DOI: 10.1109/10.918600

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  1 in total

1.  Support Vector Machine on fluorescence landscapes for breast cancer diagnostics.

Authors:  Tatjana Dramićanin; Lea Lenhardt; Ivana Zeković; Miroslav D Dramićanin
Journal:  J Fluoresc       Date:  2012-06-08       Impact factor: 2.217

  1 in total

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