Clinical signs and early prognosis in vegetative state: A decisional tree, data-mining study

Brain Injury

Volumn 22, Issue 7-8, 2008, Pages 617-623

  Dolce, G ^a   Quintieri, M ^a   Serra, S ^a   Lagani, V ^b   Pignolo, L ^b  

^a RAN Research on Advanced Neuro rehabilitation   (Italy)

^b UNIVERSITY OF CALABRIA   (Italy)

Author keywords

Classification and regression tree; Data mining; Early prognosis; Vegetative state

Indexed keywords

ADULT; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATISM; BODY MOVEMENT; BRAIN FUNCTION; BRAIN INJURY; CLASSIFICATION; CLINICAL FEATURE; COMPUTER PROGRAM; CONSCIOUSNESS; CONTROLLED STUDY; CORNEA REFLEX; CORRELATION ANALYSIS; DATA MINING; DECEREBRATION; DECORTICATION; EYE TRACKING; EYELID REFLEX; FEMALE; GLASGOW COMA SCALE; HEALTH CARE FACILITY; HOSPITAL ADMISSION; HUMAN; ITALY; MAJOR CLINICAL STUDY; MALE; MEDICAL ASSESSMENT; MEDICAL DECISION MAKING; MEDICAL RESEARCH; NEUROSURGERY; OUTCOME ASSESSMENT; PATIENT REFERRAL; PERSISTENT VEGETATIVE STATE; PREDICTION; PROGNOSIS; REGRESSION ANALYSIS; RELIABILITY; SPINAL CORD INJURY; SPINAL REFLEX; SPINE FRACTURE; VALIDATION STUDY;

EID: 45949105071     PISSN: 02699052     EISSN: 1362301X     Source Type: Journal    
DOI: 10.1080/02699050802132503     Document Type: Article

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