Published 2023
Table of Contents:
“...3.5.4 Machine
learning approaches -- 3.5.5 Pathway-based approaches -- 3.5.6 Artificial neuronal network approaches -- 3.5.7 Deep
learning machine approaches -- 3.5.8 Network modeling approach -- 3.5.8.1 Autoencoder approaches -- 3.5.8.2 Text mining approaches -- 3.6 Artificial intelligence algorithms for drug repurposing -- 3.7
Computational intelligence-based approaches to identify therapeutic candidates for repurposing against coronavirus -- 3.7.1 Network-based model -- 3.7.2 Structure-based approaches -- 3.7.3 Artificial intelligence approaches -- 3.8 Challenges in drug repurposing -- 3.9 Future perspectives of artificial intelligence-informed drug repurposing -- 3.10 Conclusion -- References -- 4 COVID-19: artificial intelligence solutions, prediction with country cluster analysis, and time-series forecasting -- 4.1 Introduction -- 4.1.1 Motivation for this study -- 4.1.2 Adverse impacts of COVID-19 outbreak -- 4.1.3
Chapter organization -- 4.1.4 Table of acronyms used in this
chapter -- 4.2 Review of literature on COVID-19 pandemic -- 4.3 K-means clustering for COVID-19 country analysis -- 4.3.1 Cluster analysis: an overview -- 4.3.2 Dataset selection and preprocessing -- 4.3.3 Findings from COVID-19 country cluster data analysis -- 4.3.4 The results and discussions -- 4.4 Time-series modeling for COVID-19 new cases -- 4.4.1 Time-series modeling: an overview -- 4.4.2 Dataset description -- 4.4.3 Time-series exploration -- 4.4.4 Predictive analytics -- 4.5 Conclusion -- References -- Further reading -- 5 Graph convolutional networks for pain detection via telehealth -- 5.1 Introduction -- 5.2 Methodology -- 5.2.1 Features extraction -- 5.2.2 Graph-based modules -- 5.2.3 Frame-wise weight calculation -- 5.2.4 Classification -- 5.3 Experiments -- 5.3.1 Datasets -- 5.3.2 Experimental setting -- 5.4 Results and discussion -- 5.5 Conclusion....
”
Call Number:
Loading...
Located:
Loading...
Connect to the full text of this electronic book
eBook