Battle of COVID-19: Where We Can Take The Help Of Machine Learning To Win?
Wathiq Mansoor, Yashbir Singh
Available Online 22 December 2020.
- https://doi.org/10.2991/aer.k.201221.002How to use a DOI?
- Pandemic era, COVID19, Artificial intelligence, Deep learning, Radiology, Robotics
- COVID-19 is caused by Coronavirus which has been previously linked with 2012 SARS disease. This is an RNA virus. Highly contagious is nature; spreads by air droplet and contact. It needs both air and contact precautions. Interventions to prevent its spread have been tried which includes social distancing, preventing skin contact with the patient and handwashing with soap. Use of sanitizers with >60% alcohol content has been useful. In scientific methods including pre-detection of signs and symptoms help to prevent the spread by quarantining the sick from the healthy for a period of at least 2 weeks. We can use the technology known to us; here, in this short communication, we have focused to show the basic picture of updated technology which is Artificial Intelligence.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Wathiq Mansoor AU - Yashbir Singh PY - 2020 DA - 2020/12/22 TI - Battle of COVID-19: Where We Can Take The Help Of Machine Learning To Win? BT - Proceedings of the International Seminar of Science and Applied Technology (ISSAT 2020) PB - Atlantis Press SP - 8 EP - 10 SN - 2352-5401 UR - https://doi.org/10.2991/aer.k.201221.002 DO - https://doi.org/10.2991/aer.k.201221.002 ID - Mansoor2020 ER -