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
Implementation of five machine learning methods to predict ..:
Fu, Xiaomin
;
Wang, Yuhan
;
Cates, Ryan S.
...
Frontiers in Endocrinology. 13 (2023) - p. , 2023
Link:
https://doi.org/10.3389/fendo.2022.1061507
RT Journal T1
Implementation of five machine learning methods to predict the 52-week blood glucose level in patients with type 2 diabetes
UL https://suche.suub.uni-bremen.de/peid=cr-10.3389_fendo.2022.1061507&Exemplar=1&LAN=DE A1 Fu, Xiaomin A1 Wang, Yuhan A1 Cates, Ryan S. A1 Li, Nan A1 Liu, Jing A1 Ke, Dianshan A1 Liu, Jinghua A1 Liu, Hongzhou A1 Yan, Shuangtong PB Frontiers Media SA YR 2023 SN 1664-2392 JF Frontiers in Endocrinology VO 13 LK http://dx.doi.org/https://doi.org/10.3389/fendo.2022.1061507 DO https://doi.org/10.3389/fendo.2022.1061507 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)