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
Application of Machine Learning to Predict Hospital Churnin:
, In:
2020 8th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)
,
Chauhan, Shweta
;
Saini, Sonia
;
Bathla, Ruchika
. - p. 33-37 , 2020
Link:
https://doi.org/10.1109/ICRITO48877.2020.9197766
RT T1 <cTitle>2020 8th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)</cTitle>: T1 <Title>Application of Machine Learning to Predict Hospital Churning</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9197766&Exemplar=1&LAN=DE A1 Chauhan, Shweta A1 Saini, Sonia A1 Bathla, Ruchika A1 Rana, Ajay YR 2020 K1 Hospitals K1 Machine learning K1 Organizations K1 Analytical models K1 Diabetes K1 Standards K1 Churn K1 Machine Learning K1 Patient churn K1 Churn Prediction K1 Readmission SP 33 OP 37 LK http://dx.doi.org/https://doi.org/10.1109/ICRITO48877.2020.9197766 DO https://doi.org/10.1109/ICRITO48877.2020.9197766 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
