Comparing deep neural network and other machine learning algorithms for stroke prediction in a large-scale population-based electronic medical claims database

@article{Hung2017ComparingDN,
  title={Comparing deep neural network and other machine learning algorithms for stroke prediction in a large-scale population-based electronic medical claims database},
  author={Chen-Ying Hung and Wei-Chen Chen and Po-Tsun Lai and Ching-Heng Lin and Chi-Chun Lee},
  journal={2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)},
  year={2017},
  pages={3110-3113}
}
Electronic medical claims (EMCs) can be used to accurately predict the occurrence of a variety of diseases, which can contribute to precise medical interventions. While there is a growing interest in the application of machine learning (ML) techniques to address clinical problems, the use of deep-learning in healthcare have just gained attention recently… CONTINUE READING