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 Approach with Harmonized Multinational Dat..:
Adelson, Robert P.
;
Garikipati, Anurag
;
Zhou, Yunfan
...
Diagnostics. 14 (2024) 11 - p. 1152 , 2024
Link:
https://doi.org/10.3390/diagnostics14111152
RT Journal T1
Machine Learning Approach with Harmonized Multinational Datasets for Enhanced Prediction of Hypothyroidism in Patients with Type 2 Diabetes
UL https://suche.suub.uni-bremen.de/peid=cr-10.3390_diagnostics14111152&Exemplar=1&LAN=DE A1 Adelson, Robert P. A1 Garikipati, Anurag A1 Zhou, Yunfan A1 Ciobanu, Madalina A1 Tawara, Ken A1 Barnes, Gina A1 Singh, Navan Preet A1 Mao, Qingqing A1 Das, Ritankar PB MDPI AG YR 2024 SN 2075-4418 JF Diagnostics VO 14 IS 11 SP 1152 LK http://dx.doi.org/https://doi.org/10.3390/diagnostics14111152 DO https://doi.org/10.3390/diagnostics14111152 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)