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
Early detection of late-onset neonatal sepsis from noninvas..:
Kallonen, Antti
;
Juutinen, Milla
;
Varri, Alpo
...
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.ijmedinf.2024.105366. , 2024
Link:
https://hal.science/hal-04477465
RT Journal T1
Early detection of late-onset neonatal sepsis from noninvasive biosignals using deep learning: A multicenter prospective development and validation study
UL https://suche.suub.uni-bremen.de/peid=base-ftinserm:oai:HAL:hal-04477465v1&Exemplar=1&LAN=DE A1 Kallonen, Antti A1 Juutinen, Milla A1 Varri, Alpo A1 Carrault, Guy A1 Pladys, Patrick A1 Beuchée, Alain PB HAL CCSD; Elsevier YR 2024 K1 Sepsis K1 Medicine K1 Deep learning K1 Multicenter study K1 Neonatal sepsis K1 Artificial intelligence K1 Intensive care medicine K1 Pediatrics K1 Computer science K1 Internal medicine K1 Randomized controlled trial K1 Biosignal processing K1 Decision support system K1 Deep learning model K1 Disease classification K1 [SDV.IB]Life Sciences [q-bio]/Bioengineering JF info:eu-repo/semantics/altIdentifier/doi/10.1016/j.ijmedinf.2024.105366 LK http://dx.doi.org/https://hal.science/hal-04477465 DO https://hal.science/hal-04477465 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)