Published in
Baishideng Publishing Group, World Journal of Gastroenterology, 37(11), p. 5867, 2005
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- [www.researchgate.net]
- [www.ncbi.nlm.nih.gov] | PDF
- [www.ncbi.nlm.nih.gov] | PDF
- [europepmc.org] | PDF
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Possible contribution of advanced statistical methods (artificial neural networks and linear discriminant analysis) in recognition of patients with suspected atrophic body gastritis
Journal article published in 2005 by
Enzo Grossi 
,
Marco Intraligi,
Massimo Buscema,
Vito D. Corleto,
Gianfranco Delle Fave,
Edith Lahner,
Bruno Annibale
,
Marco Intraligi,
Massimo Buscema,
Vito D. Corleto,
Gianfranco Delle Fave,
Edith Lahner,
Bruno Annibale
This paper is made freely available by the publisher.
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Abstract
AIM: To investigating whether ANNs and LDA could recognize patients with ABG in a database, containing only clinical and biochemical variables, of a pool of patients with and without ABG, by selecting the most predictive variables and by reducing input data to the minimum.