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
Data_Sheet_1_A Deep Learning Algorithm to Predict Hazardous..:
Suk-Young Kim
;
Taesung Park
;
Kwonyoung Kim
...
doi:10.3389/fpsyt.2021.684406.s001. , 2021
Link:
https://doi.org/10.3389/fpsyt.2021.684406.s001
RT Journal T1
Data_Sheet_1_A Deep Learning Algorithm to Predict Hazardous Drinkers and the Severity of Alcohol-Related Problems Using K-NHANES.docx
UL https://suche.suub.uni-bremen.de/peid=base-ftfrontimediafig:oai:figshare.com:article_14936868&Exemplar=1&LAN=DE A1 Suk-Young Kim A1 Taesung Park A1 Kwonyoung Kim A1 Jihoon Oh A1 Yoonjae Park A1 Dai-Jin Kim YR 2021 K1 Psychiatry (incl. Psychotherapy) K1 machine learning K1 deep learning K1 hazardous drinkers K1 hazardous drinking K1 alcohol related problems K1 alcohol use disorder K1 alcohol dependence K1 K-NHANES JF doi:10.3389/fpsyt.2021.684406.s001 LK http://dx.doi.org/https://doi.org/10.3389/fpsyt.2021.684406.s001 DO https://doi.org/10.3389/fpsyt.2021.684406.s001 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)