Deep Learning for Health Informatics

@article{Rav2017DeepLF,
  title={Deep Learning for Health Informatics},
  author={Daniele Rav{\`i} and Charence Wong and Fani Deligianni and Melissa Berthelot and Javier Andreu-Perez and Benny P. L. Lo and Guang-Zhong Yang},
  journal={IEEE Journal of Biomedical and Health Informatics},
  year={2017},
  volume={21},
  pages={4-21}
}
With a massive influx of multimodality data, the role of data analytics in health informatics has grown rapidly in the last decade. This has also prompted increasing interests in the generation of analytical, data driven models based on machine learning in health informatics. Deep learning, a technique with its foundation in artificial neural networks, is emerging in recent years as a powerful tool for machine learning, promising to reshape the future of artificial intelligence. Rapid… 

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