The use of machine learning techniques to predict severity in acute pancreatitis
The use of machine learning techniques to predict severity in acute pancreatitis
Pearce, C.B.
82e5c6a5-21bd-45c8-a7cd-40971e185577
Gunn, S.R.
306af9b3-a7fa-4381-baf9-5d6a6ec89868
Ahmed, A.
29a81242-835e-4661-bffd-3831f02ee2b6
Johnson, C.D.
ca994ad8-3406-4831-99b7-6915db56536c
2004
Pearce, C.B.
82e5c6a5-21bd-45c8-a7cd-40971e185577
Gunn, S.R.
306af9b3-a7fa-4381-baf9-5d6a6ec89868
Ahmed, A.
29a81242-835e-4661-bffd-3831f02ee2b6
Johnson, C.D.
ca994ad8-3406-4831-99b7-6915db56536c
Pearce, C.B., Gunn, S.R., Ahmed, A. and Johnson, C.D.
(2004)
The use of machine learning techniques to predict severity in acute pancreatitis.
Digestive Disease Week 2004, New Orleans, U.S.A..
Record type:
Conference or Workshop Item
(Other)
This record has no associated files available for download.
More information
Published date: 2004
Venue - Dates:
Digestive Disease Week 2004, New Orleans, U.S.A., 2004-01-01
Organisations:
Electronic & Software Systems
Identifiers
Local EPrints ID: 261927
URI: http://eprints.soton.ac.uk/id/eprint/261927
PURE UUID: f1616bd5-7a19-477c-b253-6eb634cb18c4
Catalogue record
Date deposited: 07 Feb 2006
Last modified: 10 Dec 2021 21:23
Export record
Contributors
Author:
C.B. Pearce
Author:
S.R. Gunn
Author:
A. Ahmed
Author:
C.D. Johnson
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics