Clinical Elements that Predict Outcome after Traumatic Brain Injury: A Prospective Multicenter Recursive Partitioning (Decision-Tree) Analysis-Reference-Cited by-同舟云学术

Clinical Elements that Predict Outcome after Traumatic Brain Injury: A Prospective Multicenter Recursive Partitioning (Decision-Tree) Analysis

Published:2005-10 Issue:10 Volume:22 Page:1040-1051
ISSN:0897-7151
Container-title:Journal of Neurotrauma
language:en
Short-container-title:Journal of Neurotrauma

Author:

Brown Allen W.¹,Malec James F.²,McClelland Robyn L.³,Diehl Nancy N.³,Englander Jeffrey⁴,Cifu David X.⁵

Affiliation:

1. Department of Physical Medicine and Rehabilitation, Mayo Clinic College of Medicine, Rochester, Minnesota.

2. Department of Psychiatry and Psychology, Mayo Clinic College of Medicine, Rochester, Minnesota.

3. Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota.

4. Department of Physical Medicine and Rehabilitation, Santa Clara Valley Medical Center, and Department of Functional Restoration, Stanford University School of Medicine, San Jose, California.

5. Department of Physical Medicine and Rehabilitation, Virginia Commonwealth University, Medical College of Virginia, Richmond, Virginia.

Publisher

Mary Ann Liebert Inc

Subject

Neurology (clinical)

Link

http://www.liebertpub.com/doi/pdf/10.1089/neu.2005.22.1040

Reference37 articles.

1. Predicting recovery in patients suffering from traumatic brain injury by using admission variables and physiological data: a comparison between decision tree analysis and logistic regression

2. The outcome from severe head injury with early diagnosis and intensive management

3. Sitting balance following brain injury: does it predict outcome?

4. Supervision rating scale: A measure of functional outcome from brain injury

5. Outcome in 200 Consecutive Cases of Severe Head Injury Treated in San Diego County

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