Data science is now supporting medical science in breaking new ground in areas such as medical imaging, genetics and genomics, drug development, patient–customer assistance, and predictive medicine. COVID-19 has brought this to light. Data analytics has been successfully used by governments, health organizations, and society, in general, to monitor real-time disease outbreaks, predicting, and recognise real-time trends. We can now extract data from wet-lab experiments, as well as imaging-based and sensor-based (from wearable sensors) systems, thanks to technological improvements.
The primary challenge in data science's relevance to covid19 is data collection. This appears to be one of the typical difficult challenges that all data scientists are currently facing. One component of gathering numerical data is predicting the death curve and the persons affected.
Another use of machine learning is to categorize X-Ray images of COVID19 patients and typical pneumonia patients using deep knowledge and advanced machine learning. CT scan pictures from COVID19 patients are also obtainable for machine learning and deep learning applications. To create these successful apps, strong high-end processors are required, which may not be available to many countries' medical scientists during this difficult time.
Machine Learning Can Also Aid With The Following Tasks
● It can aid in the discovery of the need for drug discovery technologies that can be improved via the use of machine learning and deep learning.
● It can assist in determining the red, orange, and green zones based on the density of sick patients.
● It can extract features from photos of covid19 patients in order to better understand the virus's activities.
● It can also justify the source of the infection, which will aid in estimating the next large outbreak.
●
Data science and machine learning
can greatly aid in the classification of patients based on the severity of the
infection. Doctors can select who should be quarantined and who should receive
appropriate medications or treatments.
Data Science Can Forecast The Result Of Treatment.
Using machine learning and data science, geographic segregation based on locality is also conceivable in terms of country, state, district, and final continent. For example, the COVID19 pandemic has been more severe in Europe and the United States than in Asia and Australia. Using the pattern in this data, professionals can normalize it to provide a generic statement about the increase in infection rate, mortality rate, and a decision made when the COVID patient graph shall flatten.
Do We
Have Enough Data Scientist Jobs In The Presence Of The COVID-19 Pandemic?
The current coronavirus epidemic has resulted in numerous job losses across all industries. The unemployment rate is at an all-time high. COVID19 caused about 3.8 million job losses in the United States last year. Furthermore, the world economy is projected to suffer in future years.
In this recession, data science jobs are providing some good news, as a flurry of recruiting can be seen in analytics firms.
End
Notes
Most importantly,
countries require health analytics like never before to estimate infection
rates, death rates, and the approximate timing of the end of this devastating
pandemic.
Employees from
analytics firms can work from home without difficulty. This, however, could
apply to any software company.
Tutort Academy is an ed-tech startup that offers Machine Learning And Ai Courses Bangalore for working professionals. If interested to learn Data Science, please visit the website.
