Using Decision Tree Methodology to Predict Employment After Moderate to Severe Traumatic Brain Injury.

Stromberg, Katharine A; Agyemang, Amma A; Graham, Kristin M; Walker, William C; Sima, Adam P; Marwitz, Jennifer H; Harrison-Felix, Cynthia; Hoffman, Jeanne M; Brown, Allen W; Kreutzer, Jeffrey S; Merchant, Randall

Stromberg, Katharine A; Agyemang, Amma A; Graham, Kristin M; Walker, William C; Sima, Adam P; Marwitz, Jennifer H; Harrison-Felix, Cynthia; Hoffman, Jeanne M; Brown, Allen W; Kreutzer, Jeffrey S; Merchant, Randall.

Affiliation

Stromberg KA; Departments of Biostatistics (Ms Stromberg and Dr Sima) and Physical Medicine and Rehabilitation (Drs Agyemang, Graham, Walker, Kreutzer, and Merchant and Ms Marwitz), Virginia Commonwealth University, Richmond; The Traumatic Brain Injury Model Systems National Data and Statistical Center, Craig Hospital, Englewood, Colorado (Dr Harrison-Felix); Department of Rehabilitation Medicine, University of Washington, Seattle (Dr Hoffman); and Department of Physical Medicine and Rehabilitation, Mayo Clin

J Head Trauma Rehabil ; 34(3): E64-E74, 2019.

Article de En | MEDLINE | ID: mdl-30234849

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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Arbres de décision / Emploi / Lésions traumatiques de l'encéphale Type d'étude: Health_economic_evaluation / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Aspects: Determinantes_sociais_saude Limites: Adult / Female / Humans / Male / Middle aged Langue: En Journal: J Head Trauma Rehabil Sujet du journal: REABILITACAO / TRAUMATOLOGIA Année: 2019 Type de document: Article Pays de publication: États-Unis d'Amérique

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