Predicting tissue outcome from acute stroke magnetic resonance imaging: improving model performance by optimal sampling of training data.

Stroke; a journal of cerebral circulation

Volumn 40, Issue 9, 2009, Pages 3006-3011

  Jonsdottir, Kristjana Yr ^a   Østergaard, Leif ^a   Mouridsen, Kim ^a  

^a AARHUS UNIVERSITY HOSPITAL   (Denmark)

Author keywords

[No Author keywords available]

Indexed keywords

AGED; ALGORITHM; ARTICLE; BIOLOGICAL MODEL; BRAIN INFARCTION; FEMALE; HUMAN; MALE; METHODOLOGY; MIDDLE AGED; NUCLEAR MAGNETIC RESONANCE IMAGING; PREDICTION AND FORECASTING; RADIOGRAPHY; STROKE;

AGED; ALGORITHMS; BRAIN INFARCTION; FEMALE; HUMANS; MAGNETIC RESONANCE IMAGING; MALE; MIDDLE AGED; MODELS, BIOLOGICAL; PREDICTIVE VALUE OF TESTS; STROKE;

EID: 70349256210     PISSN: None     EISSN: 15244628     Source Type: Journal    
DOI: 10.1161/STROKEAHA.109.552216     Document Type: Article

References (0)