Can I read Deep Learning for Neonatal Sepsis Detection on EtoBox?
Deep Learning for Neonatal Sepsis Detection by msciitr is a document available to read on EtoBox.
What is Deep Learning for Neonatal Sepsis Detection about?
This doctoral thesis by Antoine Honoré explores the use of deep learning algorithms for detecting neonatal sepsis, a critical condition affecting newborns. It evaluates various prediction algorithms, including Naive Bayes and recurrent neural networks, using data from neonatal intensive care units in Stockholm, and discusses the challenges of interpreting complex medical data. The research aims to improve the accuracy of sepsis detection through advanced modeling techniques, ultimately enhancing patient car
- Author
- msciitr
- Language
- EN