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
Diabetes Prediction using Machine Learning Classification A..:
, In:
2022 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS)
,
Dharani, M.K.
;
Thamilselvan, R.
;
Komarasamy, Dinesh
... - p. 264-269 , 2022
Link:
https://doi.org/10.1109/ICSCDS53736.2022.9760841
RT T1 <cTitle>2022 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS)</cTitle>: T1 <Title>Diabetes Prediction using Machine Learning Classification Algorithms</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9760841&Exemplar=1&LAN=DE A1 Dharani, M.K. A1 Thamilselvan, R. A1 Komarasamy, Dinesh A1 V, Uvetha A1 G, Swathy A1 M, Soundarya YR 2022 K1 Training K1 Machine learning algorithms K1 Prediction algorithms K1 Feature extraction K1 Diabetes K1 Classification algorithms K1 Glucose K1 Support vector machine K1 Naive Bayes K1 Random forest K1 Machine learning K1 Glucose level SP 264 OP 269 LK http://dx.doi.org/https://doi.org/10.1109/ICSCDS53736.2022.9760841 DO https://doi.org/10.1109/ICSCDS53736.2022.9760841 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
