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
Prediction of Cardiac Disease using Supervised Machine Lear..:
, In:
2020 4th International Conference on Intelligent Computing and Control Systems (ICICCS)
,
Princy, R. Jane Preetha
;
Parthasarathy, Saravanan
;
Hency Jose, P. Subha
.. - p. 570-575 , 2020
Link:
https://doi.org/10.1109/ICICCS48265.2020.9121169
RT T1
2020 4th International Conference on Intelligent Computing and Control Systems (ICICCS)
: T1
Prediction of Cardiac Disease using Supervised Machine Learning Algorithms
UL https://suche.suub.uni-bremen.de/peid=ieee-9121169&Exemplar=1&LAN=DE A1 Princy, R. Jane Preetha A1 Parthasarathy, Saravanan A1 Hency Jose, P. Subha A1 Raj Lakshminarayanan, Arun A1 Jeganathan, Selvaprabu YR 2020 K1 Cardiovascular Disease K1 Naive Bayes K1 Decision Tree K1 Logistic Regression K1 Random Forest K1 SVM K1 KNN K1 Risk prediction SP 570 OP 575 LK http://dx.doi.org/https://doi.org/10.1109/ICICCS48265.2020.9121169 DO https://doi.org/10.1109/ICICCS48265.2020.9121169 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)