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Article overview
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Explainable AI Framework for COVID-19 Prediction in Different Provinces of India | | Mredulraj S. Pandianchery
; Gopalakrishnan E.A
; Sowmya V
; Vinayakumar Ravi
; Soman K.P
; | | Date: |
12 Jan 2022 | | Abstract: | In 2020, covid-19 virus had reached more than 200 countries. Till December
20th 2021, 221 nations in the world had collectively reported 275M confirmed
cases of covid-19 & total death toll of 5.37M. Many countries which include
United States, India, Brazil, United Kingdom, Russia etc were badly affected by
covid-19 pandemic due to the large population. The total confirmed cases
reported in this country are 51.7M, 34.7M, 22.2M, 11.3M, 10.2M respectively
till December 20, 2021. This pandemic can be controlled with the help of
precautionary steps by government & civilians of the country. The early
prediction of covid-19 cases helps to track the transmission dynamics & alert
the government to take the necessary precautions. Recurrent Deep learning
algorithms is a data driven model which plays a key role to capture the
patterns present in time series data. In many literatures, the Recurrent Neural
Network (RNN) based model are proposed for the efficient prediction of COVID-19
cases for different provinces. The study in the literature doesnt involve the
interpretation of the model behavior & robustness. In this study, The LSTM
model is proposed for the efficient prediction of active cases in each
provinces of India. The active cases dataset for each province in India is
taken from John Hopkins publicly available dataset for the duration from 10th
June, 2020 to 4th August, 2021. The proposed LSTM model is trained on one state
i.e., Maharashtra and tested for rest of the provinces in India. The concept of
Explainable AI is involved in this study for the better interpretation &
understanding of the model behavior. The proposed model is used to forecast the
active cases in India from 16th December, 2021 to 5th March, 2022. It is
notated that there will be a emergence of third wave on January, 2022 in India. | | Source: | arXiv, 2201.06997 | | Services: | Forum | Review | PDF | Favorites | |
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