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
A Real-Time Automated Machine Learning Algorithm for Predic..:
Park, Caroline
;
Loza-Avalos, Sandra E.
;
Harvey, Jalen
...
The American Surgeon™. 90 (2023) 4 - p. 655-661 , 2023
Link:
https://doi.org/10.1177/00031348231207299
RT Journal T1
A Real-Time Automated Machine Learning Algorithm for Predicting Mortality in Trauma Patients: Survey Says it's Ready for Prime-Time
UL https://suche.suub.uni-bremen.de/peid=cr-10.1177_00031348231207299&Exemplar=1&LAN=DE A1 Park, Caroline A1 Loza-Avalos, Sandra E. A1 Harvey, Jalen A1 Hirschkorn, Carol A1 Dultz, Linda A. A1 Dumas, Ryan P. A1 Sanders, Drew A1 Chowdhry, Vikas A1 Starr, Adam A1 Cripps, Michael PB SAGE Publications YR 2023 SN 0003-1348 SN 1555-9823 JF The American Surgeon™ VO 90 IS 4 SP 655 OP 661 LK http://dx.doi.org/https://doi.org/10.1177/00031348231207299 DO https://doi.org/10.1177/00031348231207299 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)