Classifying and Predicting Covid-19 during pregnancy using RNN and ML Techniques
S.V. Divya, P. Venkadesh, K.V. Shiny, S. Ninisha Nels, A. Prasanth · 2024
The most recent threat which was threatening every individual’s health nowadays was the Covid-19 virus. Hence focusis made on applying AI methods to predict and diagnose the covid during pregnancy. The evolution of specific recognition techniques and a lack of accurate viral identification was the main reason for the rise of Covid-19. Numerous alignment free techniques for identifying the viral infection were considered. However, all those techniques seem to be time consuming. Hence the researchers proposed alignment-free techniques by incorporating genomic methods. Numerous AI techniques were employed for gathering the mutation data, analyzing, and classifying the genome sequences, and for the preventive methods of vaccine drugs. Even though the approach tends to be effective and flexible, its difficulty lies in the process of data collection and needs proper validation. The artificial neural networks tools were used to overcome the challenges associated with Covid-19. For analyzing and evaluating, specific medical data were applied in each stage for better performance.