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...
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: | |
Online Access: | https://www.frontiersin.org/article/10.3389/fped.2020.00525/full |
Similar Items
-
Practices related to late‐onset sepsis in very low‐birth weight preterm infants
by: Maria Regina Bentlin, et al.
Published: (2015-03-01) -
The role of interleukin-6 in the early diagnosis of sepsis in premature infants
by: Mehrdad Mirzarahimi, et al.
Published: (2017-10-01) -
Fungal sepsis in a Level III Neonatal Intensive Care Unit: a 10-year retrospective analysis
by: Rita Silva, et al.
Published: (2014-10-01) -
An evaluation of patients with culture-proven sepsis in a neonatal intensive care unit
by: Hülya Kara, et al.
Published: (2015-09-01) -
Correlation between neopterin levels in premature infants with sepsis and the signs and symptoms of neonatal sepsis using the Töllner sepsis score
by: Anggara Mohamad Yanuar, et al.
Published: (2014-07-01)