Arnold Corey W, El-Saden Suzie M, Bui Alex A T, Taira Ricky
University of California, Medical Imaging Informatics Group, Los Angeles, CA.
AMIA Annu Symp Proc. 2010 Nov 13;2010:26-30.
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.
临床报告在进行时，往往很少考虑对概念进行二次计算分析。这一事实使得患者之间的比较具有挑战性，因为记录缺乏在一个可以定量判断其相似性的空间中的表示。我们提出了一种方法，通过该方法可以使用潜在主题来比较患者的全部临床记录。为了在临床相关层面捕捉主题，患者报告根据其类型进行划分，从而对主题进行更细致的刻画。使用距离度量可以直接比较由此产生的概率性患者主题表示。为了浏览患者记录集，我们开发了一个工作站，该工作站允许用户对不同的报告类型进行加权，并显示关于两名患者被认为相似的原因的简洁总结，从而定制并加快搜索。结果表明，该系统能够捕捉可用于基于病例检索的具有临床意义的主题。
