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
Predicting 30-Day Readmission for Stroke Using Machine Lear..:
Yu-Ching Chen
;
Jo-Hsuan Chung
;
Yu-Jo Yeh
...
https://www.frontiersin.org/articles/10.3389/fneur.2022.875491/full. , 2022
Link:
https://doi.org/10.3389/fneur.2022.875491
RT Journal T1
Predicting 30-Day Readmission for Stroke Using Machine Learning Algorithms: A Prospective Cohort Study
UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:f67c7c62504b4506a8b6d9707765455b&Exemplar=1&LAN=DE A1 Yu-Ching Chen A1 Jo-Hsuan Chung A1 Yu-Jo Yeh A1 Shi-Jer Lou A1 Hsiu-Fen Lin A1 Ching-Huang Lin A1 Hong-Hsi Hsien A1 Kuo-Wei Hung A1 Shu-Chuan Jennifer Yeh A1 Hon-Yi Shi PB Frontiers Media S.A. YR 2022 K1 30-day readmission K1 artificial neural network K1 feature importance analysis K1 post-acute care K1 stroke K1 Neurology. Diseases of the nervous system K1 RC346-429 JF https://www.frontiersin.org/articles/10.3389/fneur.2022.875491/full LK http://dx.doi.org/https://doi.org/10.3389/fneur.2022.875491 DO https://doi.org/10.3389/fneur.2022.875491 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)