Clinical Case-based Retrieval Using Latent Topic Analysis.
Clinical Case-based Retrieval Using Latent Topic Analysis.
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发表时间：
2010-11
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通讯作者：
C. Arnold;S. El-Saden;Alex A. T. Bui;R. Taira
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作者：
C. Arnold;S. El-Saden;Alex A. T. Bui;R. Taira
临床报告的执行通常很少考虑概念的二次计算分析。这一事实使得患者的比较具有挑战性，因为记录在可以定量判断其相似性的空间中缺乏表示。我们提出了一种方法，通过该方法可以使用潜在主题比较患者的临床记录的整体。为了在临床相关级别捕获主题，患者报告根据其类型进行分区，从而允许对主题进行更细粒度的表征。所得到的概率患者主题表示是直接可比的，彼此使用距离测量。为了浏览患者记录的集合，我们开发了一个工作站，允许用户对不同的报告类型进行加权，并显示两名患者被认为相似的原因的简洁摘要，定制和加速搜索。结果表明，该系统能够捕获临床上重要的主题，可用于基于案例的检索。
Clinical reporting is often performed with minimal consideration for secondary computational analysis of concepts. This fact makes the comparison of patients challenging as records lack a representation in a space where their similarity may be judged quantitatively. We present a method by which the entirety of a patient's clinical records may be compared using latent topics. To capture topics at a clinically relevant level, patient reports are partitioned based on their type, allowing for a more granular characterization of topics. The resulting probabilistic patient topic representations are directly comparable to one another using distance measures. To navigate a collection of patient records we have developed a workstation that allows users to weight different report types and displays succinct summarizations of why two patients are deemed similar, tailoring and expediting searches. Results show the system is able to capture clinically significant topics that can be used for case-based retrieval.