title: Using statistical text mining to supplement the development of an ontology.
abstract: Statistical text mining was used to supplement efforts to develop a clinical vocabulary for post-traumatic stress disorder (PTSD) in the VA. A set of outpatient progress notes was collected for a cohort of 405 unique veterans with PTSD and a comparison group of 392 with other psychological conditions at one VA hospital. Two methods were employed: (1) "multi-model term scoring" used stepwise logistic regression to develop 21 separate models by varying three frequency weight and seven term weight options and (2) "iterative term refinement" which used a standard stop list followed by clinical review to eliminate non-clinical terms and terms not related to PTSD. Combined results of the two methods were reviewed by two clinicians resulting in 226 unique PTSD related terms. Results of the statistical text mining methods were compared with ongoing efforts to identify terms based on literature review, focus groups with clinicians treating PTSD and review of an existing vocabulary, lending support to the contributions of the STM analyses.
authors.affiliation: Consortium for Healthcare Informatics Research (CHIR); VA HSR&D/RR&D Center of Excellence: Maximizing Rehabilitation Outcomes, Tampa, FL, United States. Electronic address: steve.luther@med.va.gov.
authors.forename: Stephen
authors.initials: S
authors.lastname: Luther
authors.affiliation: Consortium for Healthcare Informatics Research (CHIR); College of Business, University of South Florida, Tampa, FL, United States. Electronic address: dberndt@usf.edu.
authors.forename: Donald
authors.initials: D
authors.lastname: Berndt
authors.affiliation: Consortium for Healthcare Informatics Research (CHIR); VA HSR&D/RR&D Center of Excellence: Maximizing Rehabilitation Outcomes, Tampa, FL, United States. Electronic address: dezon.finch@va.gov.
authors.forename: Dezon
authors.initials: D
authors.lastname: Finch
authors.affiliation: Consortium for Healthcare Informatics Research (CHIR); VA HSR&D/RR&D Center of Excellence: Maximizing Rehabilitation Outcomes, Tampa, FL, United States. Electronic address: matthew.richardson@va.gov.
authors.forename: Matthew
authors.initials: M
authors.lastname: Richardson
authors.affiliation: Consortium for Healthcare Informatics Research (CHIR); VA HSR&D/RR&D Center of Excellence: Maximizing Rehabilitation Outcomes, Tampa, FL, United States. Electronic address: edward.hickling@va.gov.
authors.forename: Edward
authors.initials: E
authors.lastname: Hickling
authors.affiliation: Consortium for Healthcare Informatics Research (CHIR); HSR&D Research Enhancement Program, Portland VA Medical Center, Portland, OR, United States; Department of Medicine, Oregon Health and Science University, Portland, OR, United States. Electronic address: david.hickham@va.gov.
authors.forename: David
authors.initials: D
authors.lastname: Hickam
mesh_terms: D057225:Data Mining / Q000379:methods*; D006801:Humans; D016015:Logistic Models; D013313:Stress Disorders, Post-Traumatic / Q000145:classification* / Q000175:diagnosis; D039061:Systematized Nomenclature of Medicine; D009626:Terminology as Topic