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A comprehensive review of COVID-19 detection with machine learning and deep learning techniques.

Sreeparna DasIshan AyusDeepak Gupta
Published in: Health and technology (2023)
In conclusion, it is evident that ML/DL models have made significant progress in recent years, but there are still limitations that need to be addressed. Overfitting is one such limitation that can lead to incorrect predictions and overburdening of the models. The research community must continue to work towards finding ways to overcome these limitations and make machine and deep learning models even more effective and efficient. Through this ongoing research and development, we can expect even greater advances in the future.
Keyphrases
  • deep learning
  • machine learning
  • artificial intelligence
  • convolutional neural network
  • coronavirus disease
  • sars cov
  • mental health
  • big data
  • current status
  • label free