面向临床的智能科研分析平台的研究与应用  

Research and Application of Intelligent Scientific Research Platform for Clinical Research

作　　者：黄跃[1] 费晓璐[1] 魏岚[1] 张颖捷[1] 梁志刚[1] HUANG Yue;FEI Xiaolu;WEI Lan;ZHANG Yingjie;LIANG Zhigang(Information Center,Xuanwu Hospital,Capital Medical University,Beijing 100053,China)

机构地区：[1]首都医科大学宣武医院信息中心,北京市100053

出　　处：《中国卫生信息管理杂志》2024年第2期291-296,共6页Chinese Journal of Health Informatics and Management

基　　金：国家重点研发计划“老年用药评价管理与咨询服务平台研发”(2020YFC2005505);国家自然科学基金“基于深度学习的混合特征患者表示方法及应用研究”(81971707)。

摘　　要：目的建立智能科研分析平台,提高临床医生的科研效率。方法利用自然语言处理、深度学习、智能分析挖掘等技术,通过临床数据采集、存储、分析、挖掘等,进行全面的数据整合、高效的数据治理,并构建临床知识库及专病模型。结果平台可提供数据整合、数据清洗、可视化分析挖掘等多项临床科研服务。结论利用智能科研分析平台对临床诊疗数据进行有效的深度挖掘,可多层次、多角度地满足科研需求,提高医生的科研产出,解决科研数据分析瓶颈等问题。Objective Intelligent scientific research platform can improve the efficiency of clinical research.Methods Using natural language processing,deep learning,intelligent analysis and other technologies,through clinical data collection,storage,analysis,and mining,comprehensive data integration and efficient data management are used to construct clinical knowledge bases and specific disease models.Results The platform can carry out a number of clinical scientific research services such as data integration,data cleaning,visual analysis and mining.Conclusion Intelligent scientific research platform can effectively tap the intrinsic value of clinical diagnosis and treatment data,meet scientific research needs at multiple levels and angles,help doctors pursue more efficient output in scientific research,and solve problems such as bottlenecks in scientific research data analysis.

关 键 词：科研平台 智能分析 数据治理 

分 类 号：R-39[医药卫生] R319