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 Personalized Treatment Plans for Chr..:
, In:
2024 2nd International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT)
,
Agarwal, Shashank
- p. 1127-1132 , 2024
Link:
https://doi.org/10.1109/IDCIoT59759.2024.10467425
RT T1
2024 2nd International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT)
: T1
Machine Learning Based Personalized Treatment Plans for Chronic Conditions
UL https://suche.suub.uni-bremen.de/peid=ieee-10467425&Exemplar=1&LAN=DE A1 Agarwal, Shashank YR 2024 K1 Measurement K1 Machine learning algorithms K1 Medical services K1 Transforms K1 Predictive models K1 Ions K1 Reliability K1 Machine Learning K1 Healthcare Algorithm K1 Patient Outcomes K1 Data Integration SP 1127 OP 1132 LK http://dx.doi.org/https://doi.org/10.1109/IDCIoT59759.2024.10467425 DO https://doi.org/10.1109/IDCIoT59759.2024.10467425 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)