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
Predicting renal function recovery and short-term reversibi..:
Zhao, Xiujuan
;
Lu, Yunwei
;
Li, Shu
...
Renal Failure. 44 (2022) 1 - p. 1327-1338 , 2022
Link:
https://doi.org/10.1080/0886022x.2022.2107542
RT Journal T1
Predicting renal function recovery and short-term reversibility among acute kidney injury patients in the ICU: comparison of machine learning methods and conventional regression
UL https://suche.suub.uni-bremen.de/peid=cr-10.1080_0886022x.2022.2107542&Exemplar=1&LAN=DE A1 Zhao, Xiujuan A1 Lu, Yunwei A1 Li, Shu A1 Guo, Fuzheng A1 Xue, Haiyan A1 Jiang, Lilei A1 Wang, Zhenzhou A1 Zhang, Chong A1 Xie, Wenfei A1 Zhu, Fengxue PB Informa UK Limited YR 2022 SN 0886-022X SN 1525-6049 JF Renal Failure VO 44 IS 1 SP 1327 OP 1338 LK http://dx.doi.org/https://doi.org/10.1080/0886022x.2022.2107542 DO https://doi.org/10.1080/0886022x.2022.2107542 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)