Artificial neural networks for the prediction of outcome in anal sphincter repair.

Miller, AS; Kaur, G; Keng, V; Duthie, GS; Kaur, Geetinder; Gardiner, A; Miller, Andrew S.; Keng, Victor; Duthie, Graeme S.

doi:10.1016/s0016-5085(00)82924-8

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Artificial neural networks for the prediction of outcome in anal sphincter repair.

Miller, AS; Kaur, G; Keng, V; Duthie, GS; Kaur, Geetinder; Gardiner, A; Miller, Andrew S.; Keng, Victor; Duthie, Graeme S.

Authors

AS Miller

G Kaur

V Keng

GS Duthie

Geetinder Kaur

A Gardiner

Andrew S. Miller

Victor Keng

Graeme S. Duthie G.S.Duthie@hull.ac.uk

Citation

Kaur, G., Gardiner, A., Miller, A. S., Keng, V., & Duthie, G. S. (2000). Artificial neural networks for the prediction of outcome in anal sphincter repair. Gastroenterology, 118(4), A213. doi:10.1016/s0016-5085(00)82924-8

Journal Article Type	Article
Acceptance Date	Apr 30, 2000
Online Publication Date	Apr 17, 2010
Publication Date	2000-04
Journal	GASTROENTEROLOGY
Print ISSN	0016-5085
Publisher	Elsevier
Peer Reviewed	Peer Reviewed
Volume	118
Issue	4
Pages	A213
DOI	https://doi.org/10.1016/s0016-5085%2800%2982924-8
Keywords	Gastroenterology
Public URL	https://hull-repository.worktribe.com/output/409603