Neonatal Sepsis Diagnosis Decision-Making Based on Artificial Neural Networks

Neonatal Sepsis Diagnosis Decision-Making Based on Artificial Neural Networks

Neonatal sepsis remains difficult to diagnose due to its non-specific signs and symptoms. Traditional scoring systems help to discriminate between septic or not patients, but they do not consider every single patient particularity. Thus, the purpose of this study was to develop an early- and late-on...

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Bibliographic Details
Main Authors: Addy Cecilia Helguera-Repetto, María Dolores Soto-Ramírez, Oscar Villavicencio-Carrisoza, Samantha Yong-Mendoza, Angélica Yong-Mendoza, Moisés León-Juárez, Jorge A. González-y-Merchand, Verónica Zaga-Clavellina, Claudine Irles
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-09-01
Series:Frontiers in Pediatrics
Subjects:
newborn
neural network
sepsis
machine learning
prematurity
Online Access:https://www.frontiersin.org/article/10.3389/fped.2020.00525/full

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