Classification of Contextual Use of Left Ventricular Ejection Fraction Assessments
Classification of Contextual Use of Left Ventricular Ejection Fraction Assessments
复制标题
左心室射血分数评估的情境使用的分类
DOI：
10.3233/978-1-61499-564-7-599
复制
发表时间：
2015
影响因子：
--
通讯作者：
S. Meystre
中科院分区：
文献类型：
--
作者：
Youngjun Kim;J. Garvin;M. Goldstein;S. Meystre
了解左心室射血分数对于心力衰竭患者的最佳护理至关重要。当文档包含多个射血分数评估时，需要对其上下文使用进行准确分类，以过滤出历史发现或建议，并对评估进行优先级排序，以选择文档级射血分数信息。我们提出了一个自然语言处理系统，分类的上下文使用定量和定性左心室射血分数评估临床叙述文件。我们创建了支持向量机分类器，其中包含从目标评估、相关概念和文档部分信息中提取的各种特征。实验结果表明，我们的分类器取得了良好的性能，达到95.6%的F1-措施的定量评估和94.2%的F1-措施的定性评估，在五重交叉验证评估。
Knowledge of the left ventricular ejection fraction is critical for the optimal care of patients with heart failure. When a document contains multiple ejection fraction assessments, accurate classification of their contextual use is necessary to filter out historical findings or recommendations and prioritize the assessments for selection of document level ejection fraction information. We present a natural language processing system that classifies the contextual use of both quantitative and qualitative left ventricular ejection fraction assessments in clinical narrative documents. We created support vector machine classifiers with a variety of features extracted from the target assessment, associated concepts, and document section information. The experimental results showed that our classifiers achieved good performance, reaching 95.6% F1-measure for quantitative assessments and 94.2% F1-measure for qualitative assessments in a five-fold cross-validation evaluation.
影响因子：
2.8
作者：
Jin-Dong Kim;Tomoko Ohta;Sampo Pyysalo;Yoshinobu Kano;Junichi Tsujii
通讯作者：
Jin-Dong Kim;Tomoko Ohta;Sampo Pyysalo;Yoshinobu Kano;Junichi Tsujii