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-based prediction for 30-day unplanned read..:
, In:
2023 IEEE International Conference on Big Data and Smart Computing (BigComp)
,
Jung, Hyojung
;
Park, Hyun Woo
;
Kim, Yumin
. - p. 132-135 , 2023
Link:
https://doi.org/10.1109/BigComp57234.2023.00029
RT T1
2023 IEEE International Conference on Big Data and Smart Computing (BigComp)
: T1
Machine learning-based prediction for 30-day unplanned readmission in all-types cancer patients
UL https://suche.suub.uni-bremen.de/peid=ieee-10066724&Exemplar=1&LAN=DE A1 Jung, Hyojung A1 Park, Hyun Woo A1 Kim, Yumin A1 Hwangbo, Yul YR 2023 SN 2375-9356 K1 Hospitals K1 Computational modeling K1 Machine learning K1 Predictive models K1 Data warehouses K1 Big Data K1 Data models K1 Unplanned readmission K1 Cancer K1 Prediction model SP 132 OP 135 LK http://dx.doi.org/https://doi.org/10.1109/BigComp57234.2023.00029 DO https://doi.org/10.1109/BigComp57234.2023.00029 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)