Predicting the COVID-19 infection with fourteen clinical features using machine learning classification algorithms
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-020-10340-7.pdf
Reference29 articles.
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3. Amin MS, Chiam YK, Varathan KD (2019) Identification of significant features and data mining techniques in predicting heart disease. Telemat Informatics. https://doi.org/10.1016/j.tele.2018.11.007
4. Ardakani AA, Kanafi AR, Acharya UR, Khadem N, Mohammadi A (2020) Application of deep learning technique to manage COVID-19 in routine clinical practice using CT images: Results of 10 convolutional neural networks. Comput Biol Med 121:103795. https://doi.org/10.1016/j.compbiomed.2020.103795
5. Banerjee A et al (2020) Use of machine learning and artificial intelligence to predict SARS-CoV-2 infection from full blood counts in a population. Int Immunopharmacol 86:106705. https://doi.org/10.1016/j.intimp.2020.106705
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