The Glasgow outcome scale in vegetative state: A possible source of bias

Brain Injury

Volumn 23, Issue 1, 2009, Pages 1-2

  Pignolo, Loris ^a   Quintieri, Maria ^a   Sannita, Walter G ^b,c  

^a RAN Research on Advanced Neuro rehabilitation   (Italy)

^b UNIVERSITY OF GENOA   (Italy)

^c STONY BROOK UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; ARTIFICIAL INTELLIGENCE; BRAIN INJURY; CEREBROVASCULAR ACCIDENT; CONSCIOUSNESS LEVEL; GLASGOW OUTCOME SCALE; HUMAN; INJURY SEVERITY; MENTAL FUNCTION; PROGNOSIS; SYSTEMATIC ERROR; VEGETATIVE STAGE; VOLUNTARY MOVEMENT;

ARTIFICIAL INTELLIGENCE; BIAS (EPIDEMIOLOGY); BRAIN INJURIES; DIAGNOSTIC ERRORS; GLASGOW OUTCOME SCALE; HUMANS; INTENSIVE CARE UNITS; PERSISTENT VEGETATIVE STATE; PROGNOSIS;

EID: 59249107630     PISSN: 02699052     EISSN: 1362301X     Source Type: Journal    
DOI: 10.1080/02699050802595873     Document Type: Article

References (4)

1. Rovlias, A. and Kotsou, S. (2004) Classification and regression tree for prediction of outcome after severe head injury using simple clinical and laboratory variables. Journal of Neurotrauma, 21, pp. 886-893.
2. Breiman, L., Friedman, JH and Olshen, RA (1984) Classification and regression trees, Wadsworth International, Belmont, CA
3. Han, J. and Kamber, M. (2001) Data mining: Concepts and techniques. The Morgan Kaufmann Series in Data Management Systems, Morgan Kaufmann, San Francisco, CA
4. Dolce, G., Quintieri, M., Serra, S., Lagani, V. and Pignolo, L. (2008) Clinical signs and early prognosis in vegetative state: A decisional tree, data-mining study. Brain Injury, 22, pp. 617-623.