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
Machine learning models for predicting in-hospital mortalit..:
Chi-Yung Cheng
;
Chia-Te Kung
;
Fu-Cheng Chen
...
https://www.frontiersin.org/articles/10.3389/fmed.2022.964667/full. , 2022
Link:
https://doi.org/10.3389/fmed.2022.964667
RT Journal T1
Machine learning models for predicting in-hospital mortality in patient with sepsis: Analysis of vital sign dynamics
UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:4e651c6a31d7420d96e0ea0947232113&Exemplar=1&LAN=DE A1 Chi-Yung Cheng A1 Chia-Te Kung A1 Fu-Cheng Chen A1 I-Min Chiu A1 Chun-Hung Richard Lin A1 Chun-Chieh Chu A1 Chien Feng Kung A1 Chih-Min Su PB Frontiers Media S.A. YR 2022 K1 sepsis K1 dynamic vital sign K1 mortality K1 prediction model K1 machine learning model K1 Medicine (General) K1 R5-920 JF https://www.frontiersin.org/articles/10.3389/fmed.2022.964667/full LK http://dx.doi.org/https://doi.org/10.3389/fmed.2022.964667 DO https://doi.org/10.3389/fmed.2022.964667 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)