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Modeling disease severity in multiple sclerosis using electronic health records.
|Publication Type||Journal Article|
|Authors||Xia, Z., Secor E., Chibnik LB, Bove RM, Cheng S., Chitnis T., Cagan A., Gainer VS, Chen PJ, Liao KP, Shaw SY, Ananthakrishnan AN, Szolovits P., Weiner HL, Karlson EW, Murphy SN, Savova GK, Cai T., Churchill SE, Plenge RM, Kohane IS, and De Jager PL|
|Abstract||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 principle, we showcased how to leverage routinely collected EHR data to identify patients with a complex neurological disorder and derive an important surrogate measure of disease severity heretofore only available in research settings.|
|Year of Publication||2013|
|Date Published (YYYY/MM/DD)||2013/11/11|