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
Establishment of a machine learning predictive model for no..:
Cao, Tengrui
;
Zhu, Qian
;
Tong, Chao
...
Nutrition, Metabolism and Cardiovascular Diseases. 34 (2024) 6 - p. 1456-1466 , 2024
Link:
https://doi.org/10.1016/j.numecd.2024.02.004
RT Journal T1
Establishment of a machine learning predictive model for non-alcoholic fatty liver disease: A longitudinal cohort study
UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.numecd.2024.02.004&Exemplar=1&LAN=DE A1 Cao, Tengrui A1 Zhu, Qian A1 Tong, Chao A1 Halengbieke, Aheyeerke A1 Ni, Xuetong A1 Tang, Jianmin A1 Han, Yumei A1 Li, Qiang A1 Yang, Xinghua PB Elsevier BV YR 2024 SN 0939-4753 JF Nutrition, Metabolism and Cardiovascular Diseases VO 34 IS 6 SP 1456 OP 1466 LK http://dx.doi.org/https://doi.org/10.1016/j.numecd.2024.02.004 DO https://doi.org/10.1016/j.numecd.2024.02.004 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)