Deep learning for healthcare: review, opportunities and challenges

  title={Deep learning for healthcare: review, opportunities and challenges},
  author={Riccardo Miotto and Fei Wang and Shuang Wang and Xiaoqian Jiang and Joel T. Dudley},
  journal={Briefings in bioinformatics},
  volume={19 6},
Gaining knowledge and actionable insights from complex, high-dimensional and heterogeneous biomedical data remains a key challenge in transforming health care. Various types of data have been emerging in modern biomedical research, including electronic health records, imaging, -omics, sensor data and text, which are complex, heterogeneous, poorly annotated and generally unstructured. Traditional data mining and statistical learning approaches typically need to first perform feature engineering… 

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