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
creator
Vazquez, Jose A.
Cambridge University Press
text
technical report
xxk
Cambridge]
Cambridge University Press
2020
monographic
eng
pdf
[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
specialized
/ Arni S.R. Srinivasa Rao and Jose A. Vazquez
Tecnologías habilitadoras digitales
AI
coronavirus
artificial intelligence
COVID-19
healthcare
mobile phone
quarantine
https://www.cambridge.org/core/services/aop-cambridge-core/content/view/7151059680918EF9B8CDBCC4EF19C292/S0899823X20000616a.pdf/identification_of_covid19_can_be_quicker_through_artificial_intelligence_framework_using_a_mobile_phonebased_survey_in_the_populations_when_citiestowns_are_under_quarantine.pdf
https://www.cambridge.org/core/services/aop-cambridge-core/content/view/7151059680918EF9B8CDBCC4EF19C292/S0899823X20000616a.pdf/identification_of_covid19_can_be_quicker_through_artificial_intelligence_framework_using_a_mobile_phonebased_survey_in_the_populations_when_citiestowns_are_under_quarantine.pdf
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