I agree that this site is using cookies. You can find further informations
here
.
X
Login
Merkliste (
0
)
Home
About us
Home About us
Our history
Profile
Press & public relations
Friends
The library in figures
Exhibitions
Projects
Training, internships, careers
Films
Services & Information
Home Services & Information
Lending and interlibrary loans
Returns and renewals
Training and library tours
My Account
Library cards
New to the library?
Download Information
Opening hours
Learning spaces
PC, WLAN, copy, scan and print
Catalogs and collections
Home Catalogs and Collections
Rare books and manuscripts
Digital collections
Subject Areas
Our sites
Home Our sites
Central Library
Law Library (Juridicum)
BB Business and Economics (BB11)
BB Physics and Electrical Engineering
TB Engineering and Social Sciences
TB Economics and Nautical Sciences
TB Music
TB Art & Design
TB Bremerhaven
Contact the library
Home Contact the library
Staff Directory
Open access & publishing
Home Open access & publishing
Reference management: Citavi & RefWorks
Publishing documents
Open Access in Bremen
zur Desktop-Version
Toggle navigation
Merkliste
1 Ergebnisse
1
Machine learning can accurately predict pre-admission basel..:
Dauvin, Antonin
;
Donado, Carolina
;
Bachtiger, Patrik
...
Dauvin, A., Donado, C., Bachtiger, P. et al. Machine learning can accurately predict pre-admission baseline hemoglobin and creatinine in intensive care patients. npj Digit. Med. 2, 116 (2019). https://doi.org/10.1038/s41746-019-0192-z. , 2019
Link:
http://hdl.handle.net/10150/636809
RT Journal T1
Machine learning can accurately predict pre-admission baseline hemoglobin and creatinine in intensive care patients
UL https://suche.suub.uni-bremen.de/peid=base-ftunivarizona:oai:repository.arizona.edu:10150_636809&Exemplar=1&LAN=DE A1 Dauvin, Antonin A1 Donado, Carolina A1 Bachtiger, Patrik A1 Huang, Ke-Chun A1 Sauer, Christopher Martin A1 Ramazzotti, Daniele A1 Bonvini, Matteo A1 Celi, Leo Anthony A1 Douglas, Molly J PB NATURE PUBLISHING GROUP YR 2019 K1 Acute kidney injury K1 Anaemia K1 Chronic kidney disease K1 Computational models K1 Data integration JF Dauvin, A., Donado, C., Bachtiger, P. et al. Machine learning can accurately predict pre-admission baseline hemoglobin and creatinine in intensive care patients. npj Digit. Med. 2, 116 (2019). https://doi.org/10.1038/s41746-019-0192-z LK http://hdl.handle.net/10150/636809 DO http://hdl.handle.net/10150/636809 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)