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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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| Опубликовано в: : | Med J Islam Repub Iran |
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| Главные авторы: | , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Iran University of Medical Sciences
2021
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8214035/ https://ncbi.nlm.nih.gov/pubmed/34169041 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.47176/mjiri.35.29 |
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