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
Comparative Study of Machine Learning Models for Early Gest..:
, In:
2023 International Conference on Circuit Power and Computing Technologies (ICCPCT)
,
Gupta, Vansh
;
Gill, Satyansh
;
Sandhu, Jasminder Kaur
. - p. 1761-1766 , 2023
Link:
https://doi.org/10.1109/ICCPCT58313.2023.10244924
RT T1 <cTitle>2023 International Conference on Circuit Power and Computing Technologies (ICCPCT)</cTitle>: T1 <Title>Comparative Study of Machine Learning Models for Early Gestational Diabetes Mellitus</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10244924&Exemplar=1&LAN=DE A1 Gupta, Vansh A1 Gill, Satyansh A1 Sandhu, Jasminder Kaur A1 Sahu, Rakesh YR 2023 K1 Pregnancy K1 Forestry K1 Lead K1 Data models K1 Diabetes K1 Glucose K1 Random forests K1 Gestational Diabetes Mellitus (GDM) K1 Machine Learning (ML) K1 Random Forest K1 XGboost K1 Classifier K1 True Positive Rate (TPR) K1 Decision Tree (DT) K1 False Positive Rate - (FPR) K1 Body Mass Index (BMI) K1 Random Forest(RF) SP 1761 OP 1766 LK http://dx.doi.org/https://doi.org/10.1109/ICCPCT58313.2023.10244924 DO https://doi.org/10.1109/ICCPCT58313.2023.10244924 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
