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
Bedside Tool for Predicting the Risk of Postoperative Atria..:
Mariscalco, Giovanni
;
Biancari, Fausto
;
Zanobini, Marco
...
Journal of the American Heart Association. 3 (2014) 2 - p. , 2014
Link:
https://doi.org/10.1161/jaha.113.000752
RT Journal T1
Bedside Tool for Predicting the Risk of Postoperative Atrial Fibrillation After Cardiac Surgery: The POAF Score
UL https://suche.suub.uni-bremen.de/peid=cr-10.1161_jaha.113.000752&Exemplar=1&LAN=DE A1 Mariscalco, Giovanni A1 Biancari, Fausto A1 Zanobini, Marco A1 Cottini, Marzia A1 Piffaretti, Gabriele A1 Saccocci, Matteo A1 Banach, Maciej A1 Beghi, Cesare A1 Angelini, Gianni D. PB Ovid Technologies (Wolters Kluwer Health) YR 2014 SN 2047-9980 JF Journal of the American Heart Association VO 3 IS 2 LK http://dx.doi.org/https://doi.org/10.1161/jaha.113.000752 DO https://doi.org/10.1161/jaha.113.000752 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)