Modeling Disease Severity in Multiple Sclerosis Using Electronic Health Records

Modeling Disease Severity in Multiple Sclerosis Using Electronic Health Records

Objective: To optimally leverage the scalability and unique features of the electronic health records (EHR) for research that would ultimately improve patient care, we need to accurately identify patients and extract clinically meaningful measures. Using multiple sclerosis (MS) as a proof of princip...

Full description

Bibliographic Details
Main Authors: Xia, Zongqi (Author), Secor, Elizabeth (Author), Chibnik, Lori B. (Author), Bove, Riley M. (Author), Cheng, Suchun (Author), Chitnis, Tanuja (Author), Cagan, Andrew (Author), Gainer, Vivian (Author), Chen, Pei (Author), Liao, Katherine P. (Author), Shaw, Stanley Y. (Author), Ananthakrishnan, Ashwin N. (Author), Szolovits, Peter (Contributor), Weiner, Howard L. (Author), Karlson, Elizabeth W. (Author), Murphy, Shawn N. (Author), Savova, Guergana K. (Author), Cai, Tianxi (Author), Churchill, Susanne (Author), Plenge, Robert M. (Author), Kohane, Isaac (Author), De Jager, Philip L. (Author)
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor), Massachusetts Institute of Technology. Laboratory for Computer Science (Contributor)
Format: Article
Language:English
Published: Public Library of Science, 2014-04-03T19:42:09Z.
Subjects:
Article
Online Access:Get fulltext

Internet

Get fulltext

Similar Items