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
Prediction of depression cases, incidence, and chronicity i..:
Librenza-Garcia, Diego
;
Passos, Ives Cavalcante
;
Feiten, Jacson Gabriel
...
Psychological Medicine. 51 (2020) 16 - p. 2895-2903 , 2020
Link:
https://doi.org/10.1017/s0033291720001579
RT Journal T1
Prediction of depression cases, incidence, and chronicity in a large occupational cohort using machine learning techniques: an analysis of the ELSA-Brasil study
UL https://suche.suub.uni-bremen.de/peid=cr-10.1017_s0033291720001579&Exemplar=1&LAN=DE A1 Librenza-Garcia, Diego A1 Passos, Ives Cavalcante A1 Feiten, Jacson Gabriel A1 Lotufo, Paulo A. A1 Goulart, Alessandra C. A1 de Souza Santos, Itamar A1 Viana, Maria Carmen A1 Benseñor, Isabela M. A1 Brunoni, Andre Russowsky PB Cambridge University Press (CUP) YR 2020 SN 0033-2917 SN 1469-8978 JF Psychological Medicine VO 51 IS 16 SP 2895 OP 2903 LK http://dx.doi.org/https://doi.org/10.1017/s0033291720001579 DO https://doi.org/10.1017/s0033291720001579 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)