The application of Machine learning for COVID-19
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DOI: 10.23977/iset2021.013
Author(s)
Yuhan Yang, Zhulin Chen, Lei Sun, Yang Lu, Yongjie Li
Corresponding Author
Yuhan Yang
ABSTRACT
Machine learning method develops very fast and has been applied in various industries. In novel coronavirus pneumonia diagnosis, recognition and treatment, machine learning has shown great advantages, which is faster, more efficient and less labor cost than traditional methods, and has made a great contribution to epidemic prevention. This paper focuses on novel coronavirus pneumonia gene sequencing and CT diagnosis.
KEYWORDS
Machine Learning, Covid-19, Gene Analysis, CT