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Prediction of Key Patient Outcome from Sentence and Word of Medical Text Records

机译:从医学文本记录的句子和单词预测关键患者的预后

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摘要

The number of unstructured medical records kept in hospital information systems is increasing. The conditions of patients are formulated as outcomes in clinical pathway. A variance of an outcome describes deviations from standards of care like a patient's bad condition. The present paper applied text mining to extract feature words and phrases of the variance from admission records. We report the cases the variances of "pain control" and "no neuropathy worsening" in cerebral infarction.
机译:医院信息系统中保存的非结构化医疗记录的数量正在增加。将患者的病情表述为临床途径的结果。结果的差异描述了偏离医疗标准的情况,例如患者的病情。本文应用文本挖掘从录取记录中提取特征词和方差短语。我们报告了脑梗死患者“疼痛控制”和“无神经病变恶化”的差异。

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