CORE
🇺🇦Â
 make metadata, not war
Services
Services overview
Explore all CORE services
Access to raw data
API
Dataset
FastSync
Content discovery
Recommender
Discovery
OAI identifiers
OAI Resolver
Managing content
Dashboard
Bespoke contracts
Consultancy services
Support us
Support us
Membership
Sponsorship
Community governance
Advisory Board
Board of supporters
Research network
About
About us
Our mission
Team
Blog
FAQs
Contact us
Filters
5 research outputs found
Detection of Surgical Site Infection Utilizing Automated Feature Generation in Clinical Notes
Author
A Garth
AJ Mangram
+37Â more
C Cortes
C Feng
C Soguero-Ruiz
CL Fischer
D Dindo
D-L Feis
DE Fry
DG Seymour
F FitzHenry
F Shen
F Shen
F Shen
G Hardy
H Gombotz
H Liu
HJ Murff
HO Pereira
JD Birkmeyer
K Hergenroeder
KE Henderson
KJ Tuman
KW Church
KX Pearson
M Torii
MA Friedl
ML McHugh
N-C Hsieh
O Bodenreider
Organization WH
PS Romano
R Hintze
R Kohavi
R Mukras
S Kullback
SB Johnson
T Faciszewski
Y-S Cheng
Publication venue
'Springer Science and Business Media LLC'
Publication date
Field of study
No full text
Crossref
Preface
Author
Pape-Haugaard Louise B.
Scott Philip
Publication venue
'IOS Press'
Publication date
16/06/2020
Field of study
Get PDF
Portsmouth University Research Portal (Pure)