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
An Analysis of Machine Learning Algorithms for Chronic Kidn..:
, In:
2024 14th International Conference on Cloud Computing, Data Science & Engineering (Confluence)
,
Arora, Aditi
;
Sehgal, Chirag
;
Agarwal, Neha
- p. 581-586 , 2024
Link:
https://doi.org/10.1109/Confluence60223.2024.10463505
RT T1
2024 14th International Conference on Cloud Computing, Data Science & Engineering (Confluence)
: T1
An Analysis of Machine Learning Algorithms for Chronic Kidney Disease Prediction
UL https://suche.suub.uni-bremen.de/peid=ieee-10463505&Exemplar=1&LAN=DE A1 Arora, Aditi A1 Sehgal, Chirag A1 Agarwal, Neha YR 2024 SN 2766-421X K1 Support vector machines K1 Sociology K1 Predictive models K1 Chronic kidney disease K1 Reliability K1 Statistics K1 Regression tree analysis K1 Chronic Kidney Disease K1 SVM K1 KNN K1 Logistic Regression K1 Random Forest K1 Decision Tree K1 Naïve Bayes SP 581 OP 586 LK http://dx.doi.org/https://doi.org/10.1109/Confluence60223.2024.10463505 DO https://doi.org/10.1109/Confluence60223.2024.10463505 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)