Improving Identification of Fall-Related Injuries in Ambulatory Care Using Statistical Text Mining.

Objectives. We determined whether statistical text mining (STM) can identify fall-related injuries in electronic health record (EHR) documents and the impact on STM models of training on documents from a single or multiple facilities. Methods. We obtained fiscal year 2007 records for Veterans Health...

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Bibliographic Details

Published in:	American Journal of Public Health Vol. 105; no. 6; pp. 1168 - 1174
Main Authors:	Luther, Stephen L., McCart, James A., Berndt, Donald J., Hahm, Bridget, Finch, Dezon, Jarman, Jay, Foulis, Philip R., Lapcevic, William A., Campbell, Robert R., Shorr, Ronald I., Valencia, Keryl Motta, Powell-Cope, Gail
Format:	Journal Article
Published:	American Public Health Association Jun2015
Subjects:	Clinics Confidence intervals Accidental falls Research funding Data mining Latent semantic analysis Data analysis software Electronic health records Statistical models Descriptive statistics Odds ratio
Online Access:	View this record in EBSCOhost