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
Machine-learning enhancement of urine dipstick tests for ch..:
Jang, Eun Chan
;
Park, Young Min
;
Han, Hyun Wook
...
Journal of the American Medical Informatics Association. 30 (2023) 6 - p. 1114-1124 , 2023
Link:
https://doi.org/10.1093/jamia/ocad051
RT Journal T1 <Title>Machine-learning enhancement of urine dipstick tests for chronic kidney disease detection</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1093_jamia_ocad051&Exemplar=1&LAN=DE A1 Jang, Eun Chan A1 Park, Young Min A1 Han, Hyun Wook A1 Lee, Christopher Seungkyu A1 Kang, Eun Seok A1 Lee, Yu Ho A1 Nam, Sang Min PB Oxford University Press (OUP) YR 2023 SN 1067-5027 SN 1527-974X JF Journal of the American Medical Informatics Association VO 30 IS 6 SP 1114 OP 1124 LK http://dx.doi.org/https://doi.org/10.1093/jamia/ocad051 DO https://doi.org/10.1093/jamia/ocad051 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
