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 Models to Predict Major Adverse Cardiovasc..:
Jain, Vardhmaan
;
Bansal, Agam
;
Radakovich, Nathan
...
Journal of Cardiothoracic and Vascular Anesthesia. 35 (2021) 7 - p. 2063-2069 , 2021
Link:
https://doi.org/10.1053/j.jvca.2021.02.006
RT Journal T1 <Title>Machine Learning Models to Predict Major Adverse Cardiovascular Events After Orthotopic Liver Transplantation: A Cohort Study</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1053_j.jvca.2021.02.006&Exemplar=1&LAN=DE A1 Jain, Vardhmaan A1 Bansal, Agam A1 Radakovich, Nathan A1 Sharma, Vikram A1 Khan, Muhammad Zarrar A1 Harris, Kevin A1 Bachour, Salam A1 Kleb, Cerise A1 Cywinski, Jacek A1 Argalious, Maged A1 Quintini, Cristiano A1 Menon, K.V. Narayanan A1 Nair, Ravi A1 Tong, Michael A1 Kapadia, Samir A1 Fares, Maan PB Elsevier BV YR 2021 SN 1053-0770 JF Journal of Cardiothoracic and Vascular Anesthesia VO 35 IS 7 SP 2063 OP 2069 LK http://dx.doi.org/https://doi.org/10.1053/j.jvca.2021.02.006 DO https://doi.org/10.1053/j.jvca.2021.02.006 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
