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William A Lapcevic

Biographic Data

ID5419101
NAMEWilliam A Lapcevic
GIVEN NAMESWilliam A
FAMILY NAMELapcevic
SIGNATURELAPCEVIC W A
AFFILIATIONSJames A. Haley Veterans' Hospital
ORCID0000-0001-7458-1117
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS0
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2012
LATEST PUBLICATION YEAR2016
H-INDEX0
  • Predictors of Mortality in Older Homeless Veterans

    Open Access•John A Schinka, Glenn Curtiss et al.•ARTICLE•The Journals of Gerontology…•2016•References: 1

    These analyses underline the jeopardy faced by older homeless veterans in terms of early death. We were able to identify several variables associated with mortality; more importantly, we were able to show that a risk score based on status for these variables was significantly related to survival

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

    Stephen L Luther, James A McCart et al.•ARTICLE•American Journal of Public Health•2015•References: 23

    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 Administration (VHA) ambulatory care clinics in the southeastern United States and Puerto Rico, resulting in a total of 26 010 documents for 1652 vet…

  • Posttraumatic Stress Disorder and Use of Psychiatric and Alcohol Related Services

    Open Access•Kathryn A Frahm, Scott D Barnett et al.•ARTICLE•Community Mental Health Journal•2012•References: 13

No prominent works on this page.

  • Posttraumatic Stress Disorder and Use of Psychiatric and Alcohol Related Services

    Open Access•Kathryn A Frahm, Scott D Barnett et al.•ARTICLE•Community Mental Health Journal•2012•References: 13

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

    Stephen L Luther, James A McCart et al.•ARTICLE•American Journal of Public Health•2015•References: 23

    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 Administration (VHA) ambulatory care clinics in the southeastern United States and Puerto Rico, resulting in a total of 26 010 documents for 1652 vet…

  • Predictors of Mortality in Older Homeless Veterans

    Open Access•John A Schinka, Glenn Curtiss et al.•ARTICLE•The Journals of Gerontology…•2016•References: 1

    These analyses underline the jeopardy faced by older homeless veterans in terms of early death. We were able to identify several variables associated with mortality; more importantly, we were able to show that a risk score based on status for these variables was significantly related to survival

Medicine (3 works) · Injury prevention (2 works) · Internal Medicine (2 works) · Occupational safety and health (2 works) · Poison control (2 works) · Psychiatry (2 works) · Suicide prevention (2 works) · Alcohol (1 work) · Alcohol use disorder (1 work) · Ambulatory (1 work)

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