Artificial Intelligence

    

Predicting the Likelihood of Mortality in Confirmed Positive COVID-19 Patients

Authors: Rajdeep Singh

The novel coronavirus - COVID-19 - has evolved into a global pandemic. With that, it is imperative that countries and medical facilities are equipped with the technology and resources to give every person the greatest chance of surviving. With that, even developed nations are beginning to run low on medical supplies such as hospital beds, masks, and respirators. With the growth of cases in the United States, hospitals will continue to run out of supplies. It is imperative that medical supplies get distributed to those who need it the most first. This paper outlines a machine learning approach to predicting patients who are at the most risk of mortality given the confirmed positive diagnosis of coronavirus. The final results were inconclusive enough to be implemented in a real-world scenario.

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Submission history

[v1] 2020-04-10 16:17:02

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