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
Artificial intelligence predicts the progression of diabeti..:
Makino, Masaki
;
Yoshimoto, Ryo
;
Ono, Masaki
...
Scientific Reports. 9 (2019) 1 - p. , 2019
Link:
https://doi.org/10.1038/s41598-019-48263-5
RT Journal T1
Artificial intelligence predicts the progression of diabetic kidney disease using big data machine learning
UL https://suche.suub.uni-bremen.de/peid=cr-10.1038_s41598-019-48263-5&Exemplar=1&LAN=DE A1 Makino, Masaki A1 Yoshimoto, Ryo A1 Ono, Masaki A1 Itoko, Toshinari A1 Katsuki, Takayuki A1 Koseki, Akira A1 Kudo, Michiharu A1 Haida, Kyoichi A1 Kuroda, Jun A1 Yanagiya, Ryosuke A1 Saitoh, Eiichi A1 Hoshinaga, Kiyotaka A1 Yuzawa, Yukio A1 Suzuki, Atsushi PB Springer Science and Business Media LLC YR 2019 SN 2045-2322 JF Scientific Reports VO 9 IS 1 LK http://dx.doi.org/https://doi.org/10.1038/s41598-019-48263-5 DO https://doi.org/10.1038/s41598-019-48263-5 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)