Titel

Merkliste
1 Ergebnisse

Develop a Model for Assessing the Most Efficient Diseases D..:

, In: 2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE),

Vives, Luis ; Basha, N Khadar ; Poonam... - p. 2458-2462 , 2022

Link: https://doi.org/10.1109/ICACITE53722.2022.9823933

RT 
T1 <cTitle>2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE)</cTitle>: T1 <Title>Develop a Model for Assessing the Most Efficient Diseases Diagnosis using Machine Learning</Title>

UL https://suche.suub.uni-bremen.de/peid=ieee-9823933&Exemplar=1&LAN=DE
				
A1 Vives, Luis
A1 Basha, N Khadar
A1 Poonam
A1 Gehlot, Anita
A1 Chole, Vikrant
A1 Pant, Kumud
YR 2022
K1 Machine learning algorithms
K1 Supervised learning
K1 Machine learning
K1 Predictive models
K1 Prediction algorithms
K1 Data models
K1 Mobile applications
K1 Deep learning
K1 automatic assistance
K1 Data Acquisition
K1 Data processing
K1 Algorithm
K1 Data Management
K1 Interpretation
K1 statistics
K1 probabilities
K1 data wrangling
K1 imputation
K1 supervised learning
K1 classification
K1 regression
K1 clustering
K1 Internet of things
K1 Healthcare
K1 Data protection
K1 Security
SP 2458
OP 2462
LK http://dx.doi.org/https://doi.org/10.1109/ICACITE53722.2022.9823933
DO https://doi.org/10.1109/ICACITE53722.2022.9823933
SF ELIB - SuUB Bremen

Export

RefWorks (nur Desktop-Version!)
Flow (Zuerst in Flow einloggen, dann importieren)