Simulating expert clinical comprehension: Adapting latent semantic analysis to accurately extract clinical concepts from psychiatric narrative
Simulating expert clinical comprehension: Adapting latent semantic analysis to accurately extract clinical concepts from psychiatric narrative
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DOI：
10.1016/j.jbi.2008.03.008
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发表时间：
2008-12-01
影响因子：
4.5
通讯作者：
Patel, Vimla
中科院分区：
文献类型：
--
作者：
Cohen, Trevor;Blatter, Brett;Patel, Vimla
认知研究表明，不太专业的临床医生不太能够识别临床叙述中有意义的数据模式。因此，精神科住院医师在早期的培训中未能注意到与诊断和评估精神病有关的信息。这份手稿提出了认知动机的方法，模拟专家的能力，组织相关的研究结果支持中间诊断假设。潜在语义分析是用来生成一个语义空间，从精神病学术语之间的有意义的关联。诊断有意义的集群建模为几何结构在这个空间内，并比较精神病的叙事文本的元素，使用语义距离的措施。定义了一种学习算法，该算法响应于标记的训练数据来改变这些几何结构的组件。相关文本片段的提取和分类是根据专家注释进行评估的，系统评分员一致性接近评分员一致性。这些方法的生物医学信息学的应用范围提出了建议。(c)2008年爱思唯尔公司All rights reserved.
Cognitive studies reveal that less-than-expert clinicians are less able to recognize meaningful patterns of data in clinical narratives. Accordingly, psychiatric residents early in training fail to attend to information that is relevant to diagnosis and the assessment of dangerousness. This manuscript presents cognitively motivated methodology for the simulation of expert ability to organize relevant findings supporting intermediate diagnostic hypotheses. Latent Semantic Analysis is used to generate a semantic space from which meaningful associations between psychiatric terms are derived. Diagnostically meaningful clusters are modeled as geometric structures within this space and compared to elements of psychiatric narrative text using semantic distance measures. A learning algorithm is defined that alters components of these geometric structures in response to labeled training data. Extraction and classification of relevant text segments is evaluated against expert annotation, with system-rater agreement approximating rater-rater agreement. A range of biomedical informatics applications for these methods are suggested. (c) 2008 Elsevier Inc. All rights reserved.