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
Tracking trajectories of multiple long-term conditions usin..:
, In:
2022 IEEE International Conference on Big Data (Big Data)
,
Kremer, Ron
;
Raza, Syed Mohib
;
Eto, Fabiola
... - p. 4390-4399 , 2022
Link:
https://doi.org/10.1109/BigData55660.2022.10021034
RT T1 <cTitle>2022 IEEE International Conference on Big Data (Big Data)</cTitle>: T1 <Title>Tracking trajectories of multiple long-term conditions using dynamic patient-cluster associations</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10021034&Exemplar=1&LAN=DE A1 Kremer, Ron A1 Raza, Syed Mohib A1 Eto, Fabiola A1 Casement, John A1 Atallah, Christian A1 Finer, Sarah A1 Lendrem, Dennis A1 Barnes, Michael A1 Reynolds, Nick J A1 Missier, Paolo YR 2022 K1 Biological system modeling K1 Big Data K1 Predictive models K1 Data models K1 Time measurement K1 Robustness K1 Trajectory K1 multi-morbidity K1 MLTC-M K1 topic modelling K1 electronic health records SP 4390 OP 4399 LK http://dx.doi.org/https://doi.org/10.1109/BigData55660.2022.10021034 DO https://doi.org/10.1109/BigData55660.2022.10021034 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
