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 Neural Network-Based Variable Importance Analysi..:
Ju, Eunbin
;
Kim, Kwang Hyeon
;
Chang, Kyung Hwan
...
Journal of the Korean Physical Society. 75 (2019) 4 - p. 277-282 , 2019
Link:
https://doi.org/10.3938/jkps.75.277
RT Journal T1 <Title>Artificial Neural Network-Based Variable Importance Analysis of Prognostic Factors Related to Radiation Pneumonitis in Patients with Lung Cancer: Preliminary Study</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.3938_jkps.75.277&Exemplar=1&LAN=DE A1 Ju, Eunbin A1 Kim, Kwang Hyeon A1 Chang, Kyung Hwan A1 Shim, Jang Bo A1 Kim, Chul Yong A1 Lee, Nam Kwon A1 Lee, Suk A1 Park, Chun Gun PB Korean Physical Society YR 2019 SN 0374-4884 SN 1976-8524 JF Journal of the Korean Physical Society VO 75 IS 4 SP 277 OP 282 LK http://dx.doi.org/https://doi.org/10.3938/jkps.75.277 DO https://doi.org/10.3938/jkps.75.277 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
