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Updated: Jul 10, 2026

Assessment and Evaluation of the High Risk Neonate: The NICU Network Neurobehavioral Scale
Published on: August 25, 2014
Identifying risk factors for two complication types for neonatal intensive care patients (NICU)
Monique Frize1, R C Walker, Doaa Ibrahim
1Department of Systems and Computer Engineering, Carleton University, Ottawa, Ontario, Canada. mfrize@connect.carleton.ca
Abstract:
This paper discusses the results of applying artificial neural networks to predicting complication for neonatal intensive care patients. Risk factors that lead to necrotizing entero-colitis or broncho-pulmonary dysplasia were identified. Future work will expand this work to other outcomes and add probability information to the estimations.
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