Performance evaluation of selected decision tree algorithms for COVID-19 diagnosis using routine clinical data

Background: The novel 2019 Coronavirus disease (COVID-19) poses a great threat to global public health and the economy. The earlier detection of COVID-19 is the key to its treatment and mitigating the transmission of the virus. Given that Machine Learning (ML) could be potentially useful in COVID-19...

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Detalles Bibliográficos
Autores principales: Shanbehzadeh, Mostafa, Kazemi-Arpanahi, Hadi, Nopour, Raoof
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Iran University of Medical Sciences 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8214035/
https://www.ncbi.nlm.nih.gov/pubmed/34169041
http://dx.doi.org/10.47176/mjiri.35.29

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8214035/
https://www.ncbi.nlm.nih.gov/pubmed/34169041
http://dx.doi.org/10.47176/mjiri.35.29

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