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Using Decision Tree Methodology to Predict Employment After Moderate to Severe Traumatic Brain Injury
Author(s) -
Katharine A. Stromberg,
Amma A. Agyemang,
Kristin M. Graham,
William C. Walker,
Adam P. Sima,
Jennifer H. Marwitz,
Cynthia Harrison-Felix,
Jeanne M. Hoffman,
Allen W. Brown,
Jeffrey S. Kreutzer,
Randall E. Merchant
Publication year - 2019
Publication title -
the journal of head trauma rehabilitation/journal of head trauma rehabilitation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.948
H-Index - 99
eISSN - 1550-509X
pISSN - 0885-9701
DOI - 10.1097/htr.0000000000000438
Subject(s) - traumatic brain injury , confidence interval , statistic , amnesia , medicine , poison control , injury severity score , injury prevention , psychology , physical therapy , emergency medicine , psychiatry , statistics , mathematics
To build decision tree prediction models for long-term employment outcomes of individuals after moderate to severe closed traumatic brain injury (TBI) and assess model accuracy in an independent sample.

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