Rosyid Ridlo, Al Hakim and Yanuar Zulardiansyah, Arief and Muhammad Haikal, Satria and Agung, Pangestu and Hexa A., Hidayah and Esa R. C., Putri and Aditia P., Hamid (2022) Recent progress on artificial intelligence application for COVID-19 monitoring and mitigation system in Indonesia. In: ASEAN Australian Engineering Congress 2022, 12 - 14 July 2022, BCCK Kuching.
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Abstract
COVID-19 is a serious public health issue in the world. The spread of COVID-19 has gone global. Indonesia is a country with a high rate of infectious cases worldwide. Multidisciplinary science also brings together to fight against COVID-19 in Indonesia. One of the important roles is artificial intelligence (AI). AI was also reported to help a vital role in public health. As a developing country, Indonesia also brings innovative AI approaches to help people with COVID-19, including classification, detection, diagnosis, prediction, telemedicine, and many more. This study elaborates the recent progress on AI application in Indonesia contributing to the fight against COVID-19 which has been reported in scientific papers/reports. Although research in this field is still not so developed, the existing innovations provide a new enthusiasm for public health and the benefits of the latest technology that can support human health, especially in facing a pandemic at Indonesia. It was found that there can be more research by utilizing AI approaches concerning public health and medicine in the future research work particularly in facing a pandemic condition.
Item Type: | Proceeding (Paper) |
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Additional Information: | COVID-19 |
Uncontrolled Keywords: | Expert System, health informatics, Covid-19, healthcare, intelligent system, mHealth. |
Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
Divisions: | Academic Faculties, Institutes and Centres > Faculty of Engineering Faculties, Institutes, Centres > Faculty of Engineering |
Depositing User: | Arief |
Date Deposited: | 20 Dec 2022 02:31 |
Last Modified: | 20 Dec 2022 02:31 |
URI: | http://ir.unimas.my/id/eprint/40948 |
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