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Creators/Authors contains: "Zicong Zhang, Changchang Yin"

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  1. (, Proceedings ICDM workshops)
    We have developed a Temporal Clustering with External Memory Network (TC-EMNet) for disease progression modeling that groups patients with similar trajectories to form disease clusters/stages. Experiments on two real-world datasets show that our model demonstrates competitive clustering performance against state-of-the-art methods and is able to identify clinically meaningful clusters. The visualization of the extracted patient states shows that the proposed model can generate better patient states than the baselines. 
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