Utility of Artificial Intelligence Amidst the COVID 19 Pandemic: A Review

被引:0
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作者
Agam Bansal
Rana Prathap Padappayil
Chandan Garg
Anjali Singal
Mohak Gupta
Allan Klein
机构
[1] Cleveland Clinic,Internal Medicine
[2] Brigham and Women’s Hospital,Department of Emergency Medicine
[3] Columbia University,Deptartment of Statistics
[4] All India Institute of Medical Sciences,Deptartment of Anatomy
[5] All India Institute of Medical Sciences,Deptartment of Cardiology
[6] Cleveland Clinic,undefined
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COVID 19; Artificial intelligence; Machine learning; Outcome prediction;
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摘要
The term machine learning refers to a collection of tools used for identifying patterns in data. As opposed to traditional methods of pattern identification, machine learning tools relies on artificial intelligence to map out patters from large amounts of data, can self-improve as and when new data becomes available and is quicker in accomplishing these tasks. This review describes various techniques of machine learning that have been used in the past in the prediction, detection and management of infectious diseases, and how these tools are being brought into the battle against COVID-19. In addition, we also discuss their applications in various stages of the pandemic, the advantages, disadvantages and possible pit falls.
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