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Exploring deep learning techniques in healthcare sectors for clinical traits.

Authors :
Rajendran, Aarthi
Murugesan, Thangamani
Chinnasamy, Narmatha
Rao, Gurudharshini Balaji
Muthuraj, Iswarya
Krishnamoorthy, Mounisuhitha
Source :
AIP Conference Proceedings; 2023, Vol. 2790 Issue 1, p1-8, 8p
Publication Year :
2023

Abstract

COVID 19 infects many countries thereby increasing the death rate worldwide. Detection in early stage is a big challenge to government, medical practitioners. Deep learning is an artificial Intelligence method having the ability of learning quickly and can easily apply in the related to clinical traits. The learning capability of DL which are difficult for humans to sense can provide high dimensional mapping in the clinical outcomes It can be used to understand the nature of this virus and further forecast the future issues. This analysis of research is done by penetrating the related effort for COVID-19 using DL for detection and analyzing of COVID-19 deep learning provide an exact and effective structure. Deep learning can fight against this disease by applying information technology. By predicting this transferable disease by using available procedures; we can develop the ability to handle the spreading of COVID-19. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
0094243X
Volume :
2790
Issue :
1
Database :
Complementary Index
Journal :
AIP Conference Proceedings
Publication Type :
Conference
Accession number :
170416502
Full Text :
https://doi.org/10.1063/5.0153663