A study on specialist or special disease clinics based on big data

作     者：Zhuyuan Fang Xiaowei Fan Gong Chen 

作者机构：Jiangsu Province Hospital of TCM Nanjing 210029 China 

出 版 物：《Frontiers of Medicine》 (医学前沿（英文版）)

年 卷 期：2014年第8卷第3期

页      面：376-381页

核心收录：

学科分类：090603[农学-临床兽医学] 081603[工学-地图制图学与地理信息工程] 081802[工学-地球探测与信息技术] 07[理学] 08[工学] 070503[理学-地图学与地理信息系统] 09[农学] 0906[农学-兽医学] 0818[工学-地质资源与地质工程] 0705[理学-地理学] 0816[工学-测绘科学与技术] 

基　　金：国家863计划 the Special Scientific Research Fund of the Traditional Chinese Medicine 

主　　题：big data correlation analysis medical information integration data analysis clinical model 

摘      要：Correlation analysis and processing of massive medical information can be implemented through big data technology to find the relevance of different factors in the life cycle of a disease and to provide the basis for scientific research and clinical practice. This paper explores the concept of constructing a big medical data platform and introduces the clinical model construction. Medical data can be collected and consolidated by distributed computing technology. Through analysis technology, such as artificial neural network and grey model, a medical model can be built. Big data analysis, such as Hadoop, can be used to construct early prediction and intervention models as well as clinical decision-making model for specialist and special disease clinics. It establishes a new model for common clinical research for specialist and special disease clinics.