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
Patient-level explainable machine learning to predict major..:
Alahdab, Fares
;
El Shawi, Radwa
;
Ahmed, Ahmed Ibrahim
...
PLOS ONE. 18 (2023) 11 - p. e0291451 , 2023
Link:
https://doi.org/10.1371/journal.pone.0291451
RT Journal T1
Patient-level explainable machine learning to predict major adverse cardiovascular events from SPECT MPI and CCTA imaging
UL https://suche.suub.uni-bremen.de/peid=cr-10.1371_journal.pone.0291451&Exemplar=1&LAN=DE A1 Alahdab, Fares A1 El Shawi, Radwa A1 Ahmed, Ahmed Ibrahim A1 Han, Yushui A1 Al-Mallah, Mouaz A1 Li, Pan PB Public Library of Science (PLoS) YR 2023 SN 1932-6203 JF PLOS ONE VO 18 IS 11 SP e0291451 LK http://dx.doi.org/https://doi.org/10.1371/journal.pone.0291451 DO https://doi.org/10.1371/journal.pone.0291451 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)