Resume

• 2010

  Department of Veterans Affairs

  University of Utah School of Medicine

  Department of Veterans Affairs

• 2006

  R interface and code passing helper for Notepad++.

  Andrew

  University of Utah School of Medicine

• 2005

  Spanish

  Doctor of Philosophy (Ph.D.)

  Statistics

  Texas A&M University

• 1999

  Bachelor of Science (BS)

  Applied Mathematics

  Weber State University

• High Performance Computing

  SQL

  Statistics

  Biostatistics

  Git

  Databases

  R

  Data Analysis

  Regression Testing

  Github

  Linear Regression

  C++

  Subversion

  Screening for Homelessness in the Free Text of VA Clinical Documents using Natural Language Processing

  Adi Gundlapalli

  Matt Samore

  RE Nelson

  Brett South

  S Pickard

  Cohort selection - From a corpus of 1.77 million VA clinical notes on Veterans seen in VHA facilities in 2009

  a cohort of notes containing ‘homeless’ in note title and a control set of random notes were selected. Creating reference standard – using a written guideline

  human reviewers classified notes as either: ‘confirmed homelessness

  ’ ‘possible/at risk of homelessness

  ' or ‘no evidence of homelessness.’ Inter-rater reliability (kappa) was calculated. Training NLP screening tool – using 2/3 of the reference standard corpus to train Automated Retrieval Console v2.0 (ARC)

  an NLP model for detecting ‘homelessness’ in clinical notes was developed. Structured elements such as ‘homeless’ in note title

  clinic stop codes

  and ICD-9 codes for homelessness were also used to identify homelessness among Veterans.

  Screening for Homelessness in the Free Text of VA Clinical Documents using Natural Language Processing

  USING NATURAL LANGUAGE PROCESSING ON ELECTRONIC MEDICAL NOTES TO DETECT THE PRESENCE OF AN INDWELLING URINARY CATHETER

  Code style checking for R.

  Consortium for Healthcare Informatics Research

  Susan Zickmund

  PhD

  Charlene Weir

  Michael Rubin

  Brett South

  Erumis Ureña

  Jorie Butler