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 Data-Driven Approach for Continuous Adherence Predictions..:
, In:
2019 IEEE International Conference on Big Data (Big Data)
,
Araujo, Matheus
;
Kazaglis, Louis
;
Iber, Conrad
. - p. 2716-2725 , 2019
Link:
https://doi.org/10.1109/BigData47090.2019.9006476
RT T1 <cTitle>2019 IEEE International Conference on Big Data (Big Data)</cTitle>: T1 <Title>A Data-Driven Approach for Continuous Adherence Predictions in Sleep Apnea Therapy Management</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9006476&Exemplar=1&LAN=DE A1 Araujo, Matheus A1 Kazaglis, Louis A1 Iber, Conrad A1 Srivastava, Jaideep YR 2019 K1 Medical treatment K1 Sleep apnea K1 Predictive models K1 Feature extraction K1 Machine learning K1 Measurement K1 Therapy Management K1 Machine Learning K1 Churn Prediction K1 Sleep Apnea SP 2716 OP 2725 LK http://dx.doi.org/https://doi.org/10.1109/BigData47090.2019.9006476 DO https://doi.org/10.1109/BigData47090.2019.9006476 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
