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
Severe Disease in Patients With Recent-Onset Psoriatic Arth..:
Queiro, Rubén
;
Seoane-Mato, Daniel
;
Laiz, Ana
...
Frontiers in Medicine. 9 (2022) - p. , 2022
Link:
https://doi.org/10.3389/fmed.2022.891863
RT Journal T1
Severe Disease in Patients With Recent-Onset Psoriatic Arthritis. Prediction Model Based on Machine Learning
UL https://suche.suub.uni-bremen.de/peid=cr-10.3389_fmed.2022.891863&Exemplar=1&LAN=DE A1 Queiro, Rubén A1 Seoane-Mato, Daniel A1 Laiz, Ana A1 Galindez Agirregoikoa, Eva A1 Montilla, Carlos A1 Park, Hye Sang A1 Pinto Tasende, Jose A. A1 Bethencourt Baute, Juan José A1 Joven Ibáñez, Beatriz A1 Toniolo, Elide A1 Ramírez, Julio A1 Pruenza García-Hinojosa, Cristina PB Frontiers Media SA YR 2022 SN 2296-858X JF Frontiers in Medicine VO 9 LK http://dx.doi.org/https://doi.org/10.3389/fmed.2022.891863 DO https://doi.org/10.3389/fmed.2022.891863 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)