Applying instance-based techniques to prediction of final outcome in acute stroke.

Applying instance-based techniques to prediction of final outcome in acute stroke.

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http://www.wikidata.org/entity/Q40432752
Learning Instance-Specific Predictive ModelsMulticlass Support Vector Machine-Based Lesion Mapping Predicts Functional Outcome in Ischemic Stroke PatientsMultiparametric magnetic resonance imaging of brain disorders.Supervised pattern recognition for the prediction of contrast-enhancement appearance in brain tumors from multivariate magnetic resonance imaging and spectroscopy.Decision path models for patient-specific modeling of patient outcomes.Early identification of potentially salvageable tissue with MRI-based predictive algorithms after experimental ischemic stroke.Infarct prediction and treatment assessment with MRI-based algorithms in experimental stroke models.Dynamical levels of plasma F(1+2) and D-dimer in patients with acute cerebral infarction during intravenous urokinase thrombolysis.Classification of lesion area in stroke patients during the subacute phase: a multiparametric MRI study.
P2860

Applying instance-based techniques to prediction of final outcome in acute stroke.

Item
http://www.wikidata.org/entity/Q40432752
description
2005 nî lūn-bûn
@nan
2005年の論文
@ja
2005年学术文章
@wuu
2005年学术文章
@zh-cn
2005年学术文章
@zh-hans
2005年学术文章
@zh-my
2005年学术文章
@zh-sg
2005年學術文章
@yue
2005年學術文章
@zh
2005年學術文章
@zh-hant
name
Applying instance-based techniques to prediction of final outcome in acute stroke.
@en
type
label
Applying instance-based techniques to prediction of final outcome in acute stroke.
@en
prefLabel
Applying instance-based techniques to prediction of final outcome in acute stroke.
@en
P1433
P1476
P2093
P304
P31
P356
P433
P478
P50
P577
P698
P356
P1433
P1476
Applying instance-based techniques to prediction of final outcome in acute stroke.
@en
P2093
P304
P31
P356
10.1016/J.ARTMED.2004.06.003
P433
P478
P50
P577
P698