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–Based Prediction of Elevated PTH Levels Am..:
Kato, Hajime
;
Hoshino, Yoshitomo
;
Hidaka, Naoko
...
The Journal of Clinical Endocrinology & Metabolism. 107 (2022) 12 - p. 3222-3230 , 2022
Link:
https://doi.org/10.1210/clinem/dgac544
RT Journal T1 <Title>Machine Learning–Based Prediction of Elevated PTH Levels Among the US General Population</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1210_clinem_dgac544&Exemplar=1&LAN=DE A1 Kato, Hajime A1 Hoshino, Yoshitomo A1 Hidaka, Naoko A1 Ito, Nobuaki A1 Makita, Noriko A1 Nangaku, Masaomi A1 Inoue, Kosuke PB The Endocrine Society YR 2022 SN 0021-972X SN 1945-7197 JF The Journal of Clinical Endocrinology & Metabolism VO 107 IS 12 SP 3222 OP 3230 LK http://dx.doi.org/https://doi.org/10.1210/clinem/dgac544 DO https://doi.org/10.1210/clinem/dgac544 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
