Identification of COVID-19 Can be Quicker through Artificial Intelligence framework using a Mobile Phone-Based Survey in the Populations when Cities/Towns Are Under Quarantine

Rao, Arni S.R. Srinivasa

Identification of COVID-19 Can be Quicker through Artificial Intelligence framework using a Mobile Phone-Based Survey in the Populations when Cities/Towns Are Under Quarantine / Arni S.R. Srinivasa Rao and Jose A. Vazquez .-- [Cambridge] : Cambridge University Press, 2020 .-- [18] p.; 1 documento PDF

We are proposing to use machine learning algorithms to be able to improve possible case identifications of COVID-19 more quicker when we use a mobile phone-based web survey. This will also reduce the spread in the susceptible populations

10.1017/ice.2020.61 doi

Tecnologías habilitadoras digitales


AI
coronavirus
artificial intelligence
COVID-19
healthcare
mobile phone
quarantine


Vazquez, Jose A.


Cambridge University Press
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