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 Heart Disease Using Machine Learning:
, In:
2022 International Conference on Recent Trends in Microelectronics, Automation, Computing and Communications Systems (ICMACC)
,
Hoque, Safiyatul
;
Khatun, Syeda Sanzida
;
Khurshid, Abdullah Bin
.. - p. 471-476 , 2022
Link:
https://doi.org/10.1109/ICMACC54824.2022.10093246
RT T1
2022 International Conference on Recent Trends in Microelectronics, Automation, Computing and Communications Systems (ICMACC)
: T1
Prediction of Heart Disease Using Machine Learning
UL https://suche.suub.uni-bremen.de/peid=ieee-10093246&Exemplar=1&LAN=DE A1 Hoque, Safiyatul A1 Khatun, Syeda Sanzida A1 Khurshid, Abdullah Bin A1 Peal, MD A1 Salam, K.M.A. YR 2022 K1 Heart K1 Training K1 Computational modeling K1 Roads K1 Predictive models K1 Software K1 Mobile applications K1 Machine learning K1 Heart Disease K1 Logistic regression model K1 Decision Tree model K1 Random Forest model K1 XGBosst Classifier model. Mobile application SP 471 OP 476 LK http://dx.doi.org/https://doi.org/10.1109/ICMACC54824.2022.10093246 DO https://doi.org/10.1109/ICMACC54824.2022.10093246 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)