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
In with the old, in with the new: machine learning for time..:
Danciu, Ioana
;
Agasthya, Greeshma
;
Tate, Janet P
...
Journal of the American Medical Informatics Association. 29 (2022) 10 - p. 1737-1743 , 2022
Link:
https://doi.org/10.1093/jamia/ocac106
RT Journal T1
In with the old, in with the new: machine learning for time to event biomedical research
UL https://suche.suub.uni-bremen.de/peid=cr-10.1093_jamia_ocac106&Exemplar=1&LAN=DE A1 Danciu, Ioana A1 Agasthya, Greeshma A1 Tate, Janet P A1 Chandra-Shekar, Mayanka A1 Goethert, Ian A1 Ovchinnikova, Olga S A1 McMahon, Benjamin H A1 Justice, Amy C PB Oxford University Press (OUP) YR 2022 SN 1067-5027 SN 1527-974X JF Journal of the American Medical Informatics Association VO 29 IS 10 SP 1737 OP 1743 LK http://dx.doi.org/https://doi.org/10.1093/jamia/ocac106 DO https://doi.org/10.1093/jamia/ocac106 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)