基于医疗大数据的临床文本处理与知识发现方法研究

Research on Clinical Text Processing and Knowledge Discovery Method Based on Medical Big Data

目的:研究基于医疗大数据的数据处理与知识发现方法,提升对海量临床文本的处理与利用能力。方法:以临床文本数据为主要研究对象,围绕数据准备、文本挖掘、评估反馈的全流程,从知识发现生命周期、文本处理流程以及关键技术等方面,研究基于医疗大数据的数据处理与知识发现方法。结果:基于医疗大数据的临床知识发现具有数据处理、文本挖掘和评价反馈的生命周期,语义标注是临床文本知识关联化的重要环节。结论:基于医疗大数据的临床文本处理与知识发现有助于促进健康医疗服务与创新。

Objective:This paper aims to improve the ability of processing and utilization of massive clinical texts,with research on clinical text processing and knowledge discovery method based on medical big data.Methods:The research is carried out from the aspects of knowledge discovery life cycle,text processing flow,and key technologies,and the clinical text data is taken as the main research object.Results:The life cycle of the clinical knowledge discovery based on medical big data is consist of data processing,text mining and evaluation feedback.Semantic annotation is an important part of clinical text knowledge association.Conclusion:Clinical text processing and knowledge discovery based on medical big data promotes healthcare service and innovation.