Published on in Vol 7, No 1 (2019): Jan-Mar

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/13039, first published .
Extraction of Geriatric Syndromes From Electronic Health Record Clinical Notes: Assessment of Statistical Natural Language Processing Methods

Extraction of Geriatric Syndromes From Electronic Health Record Clinical Notes: Assessment of Statistical Natural Language Processing Methods

Extraction of Geriatric Syndromes From Electronic Health Record Clinical Notes: Assessment of Statistical Natural Language Processing Methods

Tao Chen 1, PhD;  Mark Dredze 2, MA, PhD;  Jonathan P Weiner 3, DrPH;  Leilani Hernandez 4, MPH;  Joe Kimura 4, MPH, MD;  Hadi Kharrazi 3, 5, MD, PhD

1 Center for Language and Speech Processing, Whiting School of Engineering, Johns Hopkins University, Baltimore, MD, US

2 Department of Computer Science, Whiting School of Engineering, Johns Hopkins University, Baltimore, MD, US

3 Center for Population Health IT, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, US

4 Academic Institute, Atrius Health , Boston, MA, US

5 Division of Health Sciences Informatics, School of Medicine, Johns Hopkins University, Baltimore, MD, US

Corresponding Author:

  • Tao Chen, PhD
  • Center for Language and Speech Processing
  • Whiting School of Engineering
  • Johns Hopkins University
  • Hackerman Hall 226
  • 3400 North Charles Street
  • Baltimore, MD
  • US
  • Phone: 1 410-516-4237
  • Email: tchen77@jhu.edu