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
A machine learning–based clinical decision support system t..:
Corny, Jennifer
;
Rajkumar, Asok
;
Martin, Olivier
...
Journal of the American Medical Informatics Association. 27 (2020) 11 - p. 1688-1694 , 2020
Link:
https://doi.org/10.1093/jamia/ocaa154
RT Journal T1
A machine learning–based clinical decision support system to identify prescriptions with a high risk of medication error
UL https://suche.suub.uni-bremen.de/peid=cr-10.1093_jamia_ocaa154&Exemplar=1&LAN=DE A1 Corny, Jennifer A1 Rajkumar, Asok A1 Martin, Olivier A1 Dode, Xavier A1 Lajonchère, Jean-Patrick A1 Billuart, Olivier A1 Bézie, Yvonnick A1 Buronfosse, Anne PB Oxford University Press (OUP) YR 2020 SN 1527-974X JF Journal of the American Medical Informatics Association VO 27 IS 11 SP 1688 OP 1694 LK http://dx.doi.org/https://doi.org/10.1093/jamia/ocaa154 DO https://doi.org/10.1093/jamia/ocaa154 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)