过程挖掘为洞察和改进医疗业务过程提供了一种新的方式，它能够从实际临床活动产生的事件日志中发掘出过程模型，并通过对比事件数据和临床指南，实现合规性检查、延迟预测，辅助决策支持及过程改进等。本文介绍了医疗过程挖掘的技术框架，并从任务类型、模型表示方法和研究维度等方面，梳理总结这一研究领域的进展情况，比较不同挖掘方法的优缺点，指出目前研究存在的主要问题和可能的改进措施，为提高医疗大数据的分析利用水平提供参考借鉴。

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