Prediction of Influenza A virus infections in humans using an Artificial Neural Network learning approach

@article{Chrysostomou2017PredictionOI,
  title={Prediction of Influenza A virus infections in humans using an Artificial Neural Network learning approach},
  author={Charalambos Chrysostomou and Harris Partaourides and Huseyin Seker},
  journal={2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)},
  year={2017},
  pages={1186-1189}
}
The Influenza type A virus can be considered as one of the most severe viruses that can infect multiple species with often fatal consequences to the hosts. The Haemagglutinin (HA) gene of the virus has the potential to be a target for antiviral drug development realised through accurate identification of its sub-types and possible the targeted hosts. In… CONTINUE READING