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
Threshold Based Feature Selection For Anemia Prediction:
, In:
2023 International Conference on Computer Communication and Informatics (ICCCI)
,
Aishwarya, K.
- p. 1-5 , 2023
Link:
https://doi.org/10.1109/ICCCI56745.2023.10128647
RT T1 <cTitle>2023 International Conference on Computer Communication and Informatics (ICCCI)</cTitle>: T1 <Title>Threshold Based Feature Selection For Anemia Prediction</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10128647&Exemplar=1&LAN=DE A1 Aishwarya, K. YR 2023 SN 2473-7577 K1 Machine learning algorithms K1 Developing countries K1 Prediction algorithms K1 Feature extraction K1 Software K1 Decision trees K1 Informatics K1 machine learning K1 prediction K1 accuracy K1 algorithms K1 SMOTE SP 1 OP 5 LK http://dx.doi.org/https://doi.org/10.1109/ICCCI56745.2023.10128647 DO https://doi.org/10.1109/ICCCI56745.2023.10128647 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
