Artificial neural networks based prediction of cerebral palsy in infants with central coordination disturbance

Abstract Background In a previous study we demonstrated that heart variability parameters (HRV) could be helpful clinically as well as a prognostic tool in infants with central coordination disturbance (CCD). In recent years, outcome predictions using artificial neural networks (ANN) have been devel...

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Veröffentlicht in:	Early human development 2012-07, Vol.88 (7), p.547-553
Hauptverfasser:	LUKIC, Stevo, COJBASIC, Zarko, JOVIC, Nebojsa, POPOVIC, Mirjana, BJELAKOVIC, Bojko, DIMITRIJEVIC, Lidija, BJELAKOVIC, Ljiljana
Format:	Artikel
Sprache:	eng
Schlagworte:	Advanced Basic Science Artificial neural network Ataxia - complications Ataxia - diagnosis Biological and medical sciences Case-Control Studies Central coordination disturbance Cerebral Palsy - complications Cerebral Palsy - diagnosis Electrocardiography - methods Embryology: invertebrates and vertebrates. Teratology Female Forecasting - methods Fundamental and applied biological sciences. Psychology Heart rate variability Humans Infant Infant, Newborn Male Models, Biological Neonatal and Perinatal Medicine Neural Networks (Computer) Permanent motor disability Prognosis ROC Curve
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