Analysis and prediction of COVID-19 trajectory: A machine learning approach.
作者： Ritanjali Majhi , Rahul Thangeda , Renu Prasad Sugasi , Niraj Kumar
DOI: 10.1002/PA.2537
关键词:
摘要: The outbreak of Coronavirus 2019 (COVID-19) has impacted everyday lives globally. number positive cases is growing and India now one the most affected countries. This paper builds predictive models that can predict with higher accuracy. Regression-based, Decision tree-based, Random forest-based have been built on data from China are validated India's sample. model found to be effective will able in future minimal error. developed machine learning work real-time effectively cases. Key measures suggestions put forward considering effect lockdown.
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