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
Health risk detection through web app using machine learnin:
, In:
2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE)
,
Goel, Rajat
;
Aggarwal, Tulika
;
Reddy, Bharat Bhushan
... - p. 579-581 , 2022
Link:
https://doi.org/10.1109/ICACITE53722.2022.9823582
RT T1 <cTitle>2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE)</cTitle>: T1 <Title>Health risk detection through web app using machine learning</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9823582&Exemplar=1&LAN=DE A1 Goel, Rajat A1 Aggarwal, Tulika A1 Reddy, Bharat Bhushan A1 Dutta, Pragyan Jyoti A1 Chintamaneni, Anish A1 Agrawal, Sarvesh YR 2022 K1 Medical services K1 Machine learning K1 Forestry K1 Cardiac arrest K1 Genetics K1 Feature extraction K1 Diabetes K1 health risk detection K1 random forest K1 naive bayes K1 machine learning K1 web app SP 579 OP 581 LK http://dx.doi.org/https://doi.org/10.1109/ICACITE53722.2022.9823582 DO https://doi.org/10.1109/ICACITE53722.2022.9823582 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
