Using electronic health record metadata to predict housing instability amongst veterans

Author:

Zamora-Resendiz Rafael,Oslin David W.,Hooshyar Dina,Crivelli Silvia

Funder

Instituto de Astrofísica de Andalucía

U.S. Department of Veterans Affairs

Publisher

Elsevier BV

Subject

Public Health, Environmental and Occupational Health,Epidemiology

Reference14 articles.

1. An information-theoretic perspective of tf–idf measures;Aizawa;Inf. Process. Manag.,2003

2. Montgomery Ann Elizabeth, Dichter Melissa, Byrne Thomas, Blosnich John. Intervention to address homelessness and all-cause and suicide mortality among unstably housed US Veterans, 2012-2016. J Epidemiol Community Health. 2021;75:380-386.

3. Gundlapalli AV, Carter ME, Palmer M, Ginter T, Redd A, Pickard S, Shen S, South B, Divita G, Duvall S, Nguyen TM, D'Avolio LW, Samore M. Using natural language processing on the free text of clinical documents to screen for evidence of homelessness among US veterans. AMIA Annu Symp Proc. 2013 Nov 16;2013:537-46. PMID: 24551356; PMCID: PMC3900197.

4. Gundlapalli AV, Redd A, Carter M, Divita G, Shen S, Palmer M, Samore MH. Validating a strategy for psychosocial phenotyping using a large corpus of clinical text. J Am Med Inform Assoc. 2013 Dec;20(e2):e355-64. doi: 10.1136/amiajnl-2013-001946. Epub 2013 Oct 29. PMID: 24169276; PMCID: PMC3861921.

5. Gundlapalli AV, Carter ME, Divita G, Shen S, Palmer M, South B, Durgahee BS, Redd A, Samore M. Extracting Concepts Related to Homelessness from the Free Text of VA Electronic Medical Records. AMIA Annu Symp Proc. 2014 Nov 14;2014:589-98. PMID: 25954364; PMCID: PMC4419940.

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