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, United States

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

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

4 Academic Institute, Atrius Health, Boston, MA, United States

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

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, 21218
  • United States
  • Phone: 1 410-516-4237
  • Fax: 1 410-516-5050
  • Email: tchen77@jhu.edu