Development of phenotype algorithms using electronic medical records and incorporating natural language processing

被引:202
作者
Liao, Katherine P. [1 ,2 ]
Cai, Tianxi [3 ]
Savova, Guergana K. [4 ]
Murphy, Shawn N. [5 ]
Karlson, Elizabeth W. [1 ,2 ]
Ananthakrishnan, Ashwin N. [6 ]
Gainer, Vivian S. [7 ]
Shaw, Stanley Y. [2 ,8 ]
Xia, Zongqi [2 ,9 ]
Szolovits, Peter [10 ]
Churchill, Susanne [2 ]
Kohane, Isaac [2 ,5 ]
机构
[1] Brigham & Womens Hosp, Div Rheumatol Immunol & Allergy, Boston, MA 02115 USA
[2] Harvard Univ, Sch Med, Boston, MA USA
[3] Harvard Univ, Sch Publ Hlth, Dept Biostat, Boston, MA 02115 USA
[4] Childrens Hosp Boston, Dept Pediat, Boston, MA USA
[5] Massachusetts Gen Hosp, Dept Neurol, Boston, MA 02114 USA
[6] Massachusetts Gen Hosp, Dept Gastroenterol, MGH Crohns & Colitis Ctr, Boston, MA 02114 USA
[7] Partners HealthCare Syst, Partners Res Comp, Boston, MA USA
[8] Massachusetts Gen Hosp, Ctr Syst Biol, Boston, MA 02114 USA
[9] Harvard Univ, Sch Med, Dept Neurol, Boston, MA 02115 USA
[10] MIT, Dept Elect Engn & Comp Sci, Cambridge, MA 02139 USA
来源
BMJ-BRITISH MEDICAL JOURNAL | 2015年 / 350卷
基金
美国国家卫生研究院;
关键词
RHEUMATOID-ARTHRITIS; ULCERATIVE-COLITIS; DISCOVERY RESEARCH; CROHNS-DISEASE; NORMALIZATION; RISK; IDENTIFICATION; PREVALENCE; SYSTEM;
D O I
10.1136/bmj.h1885
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Electronic medical records are emerging as a major source of data for clinical and translational research studies, although phenotypes of interest need to be accurately defined first. This article provides an overview of how to develop a phenotype algorithm from electronic medical records, incorporating modern informatics and biostatistics methods. © BMJ Publishing Group Ltd 2015.
引用
收藏
页数:6
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