How data analytics help in improving the healthcare industry?

Coronavirus disease 2019 (COVID-19), caused by SARS coronavirus 2 (SARS-CoV-2), has become an unparalleled public health disaster. The Johns Hopkins School University of Medicine’s Coronavirus Resource Center has recorded a total of 23,638 fatalities as worldwide COVID-19 infections exceed 500,000. On March 16, 2020, the White House distributed a call to action for worldwide artificial intelligence (AI) researchers to create innovative text and data-mining approaches to aid COVID-19-related research in collaboration with research institutions and tech firms. In collaboration with major research organizations, AI released an open-source, weekly updated COVID-19 Open Research Dataset. Advanced machine learning algorithms can integrate and analyze large-scale patient data to better understand the pattern of viral propagation, enhance diagnostic speed and accuracy, develop innovative, effective therapy methods, and perhaps identify the most vulnerable people.

• A growing number of young individuals are experiencing severe COVID-19 symptoms, emphasizing the urgent need for a thorough risk assessment based on specific genetic and physiological features. Precision classifications of the population based on SARS-CoV-2 spike glycoprotein (ACE2) sensitivity can substantially improve personalized preventive measures. ACE2 is stated in epithelial cells of the lung, small intestine, heart, and kidneys. Increased ACE2 expression caused by ACE2-stimulating medications used to treat hypertension and diabetes may impair clinical results of COVIid-19 infection.
• Scientists in machine learning and artificial intelligence have been anxiously looking for and awaiting real-time data created by this outbreak worldwide. However, the timely transmission of patient data, such as physiological features and treatment outcomes of COVID-19 patients, is critical yet difficult. Federal agencies in the United States are already encouraging consortia and financing opportunities to promote cyber-infrastructure development to drive global cooperation.

References

Alimadadi, Ahmad, et al. “Artificial intelligence and machine learning to fight COVID-19.” (2020): 200-202.