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    Ma Liantao, Zhang Chaohe, Jiao Xianfeng, Wang Yasha, Tang Wen, Zhao Junfeng. Dr.Deep: Interpretable Evaluation of Patient Health Status via Clinical Feature’s Context Learning[J]. Journal of Computer Research and Development, 2021, 58(12): 2645-2659. DOI: 10.7544/issn1000-1239.2021.20211022
    Citation: Ma Liantao, Zhang Chaohe, Jiao Xianfeng, Wang Yasha, Tang Wen, Zhao Junfeng. Dr.Deep: Interpretable Evaluation of Patient Health Status via Clinical Feature’s Context Learning[J]. Journal of Computer Research and Development, 2021, 58(12): 2645-2659. DOI: 10.7544/issn1000-1239.2021.20211022

    Dr.Deep: Interpretable Evaluation of Patient Health Status via Clinical Feature’s Context Learning

    • Deep-learning-based health status representation learning is a fundamental research problem in clinical prediction and has raised much research interest. Existing models have shown superior performance, but they fail to explore personal characteristics and provide fine-grained interpretability thoroughly. In this work, we develop a general health status
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