An Effective Patient Representation Learning for Time-series Prediction Tasks Based on EHRs

@article{Lei2018AnEP,
  title={An Effective Patient Representation Learning for Time-series Prediction Tasks Based on EHRs},
  author={Liqi Lei and Yangming Zhou and Jie Zhai and Le Zhang and Zhijia Fang and Ping He and Ju Gao},
  journal={2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)},
  year={2018},
  pages={885-892}
}
Abstract-Electronic Health Records (EHRs) provide possibilities to improve patient care and facilitate clinical research. [...] Key ResultExperimental studies show that our proposed method outperforms other reference methods based on raw EHRs data. We also apply the "Deep Feature" represented by our method to track similar patients with t-SNE, which also achieves interesting results. Expand Abstract

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