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.
Abstract
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.
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