Machine Learning Algorithms Application in COVID-19 Disease: A Systematic Literature Review and Future Directions

Dixon Salcedo; Cesar D. Guerrero; Khalid Saeed; Johan Mardini; Liliana Calderon-Benavides; Carlos Henriquez; Andres Mendoza

doi:10.3390/electronics11234015

Machine Learning Algorithms Application in COVID-19 Disease: A Systematic Literature Review and Future Directions

Dixon Salcedo, Cesar D. Guerrero, Khalid Saeed, Johan Mardini, Liliana Calderon-Benavides, Carlos Henriquez, Andres Mendoza

Research output: Articles / Notes › Scientific Article › peer-review

Original language	English
Journal	Electronics
DOIs	https://doi.org/10.3390/electronics11234015
State	Published - 3 Dec 2022

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10.3390/electronics11234015

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title = "Machine Learning Algorithms Application in COVID-19 Disease: A Systematic Literature Review and Future Directions",

author = "Dixon Salcedo and Guerrero, {Cesar D.} and Khalid Saeed and Johan Mardini and Liliana Calderon-Benavides and Carlos Henriquez and Andres Mendoza",

year = "2022",

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doi = "10.3390/electronics11234015",

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T1 - Machine Learning Algorithms Application in COVID-19 Disease: A Systematic Literature Review and Future Directions

AU - Salcedo, Dixon

AU - Guerrero, Cesar D.

AU - Saeed, Khalid

AU - Mardini, Johan

AU - Calderon-Benavides, Liliana

AU - Henriquez, Carlos

AU - Mendoza, Andres

PY - 2022/12/3

Y1 - 2022/12/3

UR - https://doi.org/10.3390/electronics11234015

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DO - 10.3390/electronics11234015

M3 - Artículo Científico

JO - Electronics

JF - Electronics

ER -

Machine Learning Algorithms Application in COVID-19 Disease: A Systematic Literature Review and Future Directions

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