A Decision-Tree Approach to Assist in Forecasting the Outcomes of the Neonatal Brain Injury

A Decision-Tree Approach to Assist in Forecasting the Outcomes of the Neonatal Brain Injury

Neonatal brain injury or neonatal encephalopathy (NE) is a significant morbidity and mortality factor in preterm and full-term newborns. NE has an incidence in the range of 2.5 to 3.5 per 1000 live births carrying a considerable burden for neurological outcomes such as epilepsy, cerebral palsy, cogn...

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Bibliographic Details
Main Authors: Bogdan Mihai Neamțu, Gabriela Visa, Ionela Maniu, Maria Livia Ognean, Rubén Pérez-Elvira, Andrei Dragomir, Maria Agudo, Ciprian Radu Șofariu, Mihaela Gheonea, Antoniu Pitic, Remus Brad, Claudiu Matei, Minodora Teodoru, Ciprian Băcilă
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:International Journal of Environmental Research and Public Health
Subjects:
neonatal brain injury
risk factors
abnormal outcomes
seizures
neurodevelopment
decision-tree algorithms
Online Access:https://www.mdpi.com/1660-4601/18/9/4807

Internet

https://www.mdpi.com/1660-4601/18/9/4807

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