Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Adib Al Shaeed Khan"'
Publikováno v:
Journal of Information and Telecommunication, Vol 5, Iss 2, Pp 226-246 (2021)
Neonatal sepsis that is a major threat for maternal and neonatal health worldwide. In this work we design non-invasive, deep learning classification models for predicting accurately and efficiently the early-onset sepsis in neonates in Neonatal Inten
Externí odkaz:
https://doaj.org/article/c5b1a31875c846bc9f92b6a90abf3a7c
Publikováno v:
Journal of Information and Telecommunication, Vol 5, Iss 2, Pp 226-246 (2021)
Neonatal sepsis that is a major threat for maternal and neonatal health worldwide. In this work we design non-invasive, deep learning classification models for predicting accurately and efficiently the early-onset sepsis in neonates in Neonatal Inten
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::270aae22289f31c9c2f5956741897b1d
https://doi.org/10.1080/24751839.2020.1843121
https://doi.org/10.1080/24751839.2020.1843121
Publikováno v:
IEEE Conf. on Intelligent Systems
The aim of this paper is to develop an Artificial Neural Network (ANN) model which will act as a classifier for detecting early-onset sepsis in neonates. Neonatal sepsis is a major concern for maternal and neonatal health which remains a global probl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b5208057df9013d35e11527c16808aec
https://doi.org/10.1109/is48319.2020.9199937
https://doi.org/10.1109/is48319.2020.9199937
Publikováno v:
Journal of Information & Telecommunication; Jun2021, Vol. 5 Issue 2, p226-246, 21p