COVID 19 is a viral pandemic causing an increasing threat to society. Let's look at how machine learning could help us fight against the pandemic by :
1. Finding who is at risk
Through machine learning, it could predict the infection risk, severity risk, and outcome risk. Infection risk predicts the risk of an individual or group getting the pandemic. Severity risk predicts the risk of a group or individual that develops high COVID symptoms and needs hospitalization. While the outcome risk predicts the risk of treatment becoming ineffective and the patient's chance of death.
2. Screen the patients and find the disease
A simple, cheap, and fast test would help to get the data related to the disease and this data is taken for patient screening. When coming to machine learning which helps in the diagnosis of the disease, the following ways could be used. They are:
- Take face scans to detect symptoms like fever.
- Use of wearable technology to check heart rates.
- Make use of machine learning-powered chatbots to help in the screening of the patients based on the symptoms reported by them.
3. Development of the drug
A vaccine, drug, and diagnostic method are essential for creating a response towards the pandemic. A lot of trial and error; and time are required for the development of the drugs. By using machine learning the process could speed up and also the quality could be ensured.
4. Finding out the most effective drugs
Today time and money are spent by the companies for drug approval. While developing the drugs, they must be sure that the drugs developed do not create any form of threatening side effects. Machine learning helps to choose the drugs by creating knowledge graphs and predict interactions between viral proteins and drugs.