Deep Neural Network with Hyperparameter Tuning on Early Detection for Symptom Recognition in Suspected Covid-19
Deep Neural Network with Hyperparameter Tuning on Early Detection for Symptom Recognition in Suspected Covid-19
Author(s): Djuniadi Djuniadi, Nur Iksan, Alfa Faridh Suni, Ahmad Fashiha HastawanSubject(s): Health and medicine and law, Social Informatics
Published by: UIKTEN - Association for Information Communication Technology Education and Science
Keywords: Covid 19; thermal imaging; deep neural network; recurrent neural network
Summary/Abstract: The Coronavirus outbreak (COVID-19) is still a concern for the world according to WHO. Although this virus has been controlled, prevention efforts are still being carried out. Prevention of the virus can be done by identifying patients with symptoms such as fever, respiratory distress, and sore throat. This research aims to develop an early detection system through the recognition of symptoms of COVID-19 infection using thermal camera sensors combined with the DNN using Hyperparameter Tuning. The result is the DNN algorithm can be proposed as the right algorithm to detect someone suspected of COVID-19.
Journal: TEM Journal
- Issue Year: 12/2023
- Issue No: 2
- Page Range: 1000-1007
- Page Count: 8
- Language: English
