Healthcare data analytics:using a metadata annotation approach for integrating electronic hospital records  

作　　者：Boyi Xu Ke Xu LiuLiu Fu Ling Li Weiwei Xin Hongming Cai 

机构地区：[1]College of Economics&Management,Shanghai Jiao Tong University,Shanghai 200030,China [2]School of Software,Shanghai Jiao Tong University,Shanghai 200240,China [3]CSIS Department,Stockton University,Galloway,NJ 08205,USA [4]Strome College of Business,Old Dominion University,Norfolk,VA 23529,USA [5]Renji Hospital,Shanghai Jiao Tong University,Shanghai 200127,China

出　　处：《Journal of Management Analytics》2016年第2期136-151,共16页管理分析学报（英文）

摘　　要：The data in electronic medical records(EMR)are complex in structure.They are independent,yet related to each other.In order to improve information access through the use of EMR,annotating work on these data is necessary.The annotation on metadata,the resource data which contain a meta-model of the database,is the basis of the annotating work if a semi-automated or an automated annotating approach which aims at making the database more accessible is expected.In this study,a method has been proposed to transform the terms which cannot be matched directly by changing them literally but maintaining their semantics,and then annotating them indirectly.After the transforming work,a refinement method which is reducible to phrase sense disambiguation(PSD)is employed to ensure accuracy.A pilot study on a hospital database has been conducted to test the accuracy and effectiveness of the proposed method.

关 键 词：healthcare data analytics metadata annotation linked open data SEMANTICS phrase sense disambiguation 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]