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
Can natural language processing help differentiate inflamma..:
Tong, Yuanren
;
Lu, Keming
;
Yang, Yingyun
...
BMC Medical Informatics and Decision Making. 20 (2020) 1 - p. , 2020
Link:
https://doi.org/10.1186/s12911-020-01277-w
RT Journal T1
Can natural language processing help differentiate inflammatory intestinal diseases in China? Models applying random forest and convolutional neural network approaches
UL https://suche.suub.uni-bremen.de/peid=cr-10.1186_s12911-020-01277-w&Exemplar=1&LAN=DE A1 Tong, Yuanren A1 Lu, Keming A1 Yang, Yingyun A1 Li, Ji A1 Lin, Yucong A1 Wu, Dong A1 Yang, Aiming A1 Li, Yue A1 Yu, Sheng A1 Qian, Jiaming PB Springer Science and Business Media LLC YR 2020 SN 1472-6947 JF BMC Medical Informatics and Decision Making VO 20 IS 1 LK http://dx.doi.org/https://doi.org/10.1186/s12911-020-01277-w DO https://doi.org/10.1186/s12911-020-01277-w SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)