COVID 19 Detection Application at Siti Fatimah Hospital Method of Using Deep Learning

DOI

10.2991/ahe.k.220205.066How to use a DOI?

Keywords

covid-19; Machine Learning; Convolutional Neu- ral Networks (CNN)

Abstract

12 March 2021 WHO (Whorld Health Organization) declared Covid-19 a pandemic. The SARS-CoV-2 virus has infected 5,817,317 people with 216 countries infected as of May 28, 2020. For this reason, a solution is needed to break this covid chain, one of which is a detection application that can be used as a supporter in decision making to find out people who are infected. indicated this covid-19. This research was conducted at Siti Fatimah Hospital, South Sumatra Province using the method Machine learning by using yahoo Convolutional Neural Network (CNN) which is used as image process.

Copyright

© 2022 The Authors. Published by Atlantis Press International B.V.

Open Access

This is an open access article under the CC BY-NC license.

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TY  - CONF
AU  - Jayah Jayah
AU  - Leni Novianti
PY  - 2022
DA  - 2022/02/14
TI  - COVID 19 Detection Application at Siti Fatimah Hospital Method of Using Deep Learning
BT  - Proceedings of the 5th FIRST T1 T2 2021 International Conference (FIRST-T1-T2 2021)
PB  - Atlantis Press
SP  - 375
EP  - 379
SN  - 2589-4943
UR  - https://doi.org/10.2991/ahe.k.220205.066
DO  - 10.2991/ahe.k.220205.066
ID  - Jayah2022
ER  -