A machine-learning algorithm for neonatal seizure recognition: a multicentre, randomised, controlled trial-Reference-Cited by-同舟云学术

A machine-learning algorithm for neonatal seizure recognition: a multicentre, randomised, controlled trial

Published:2020-10 Issue:10 Volume:4 Page:740-749
ISSN:2352-4642
Container-title:The Lancet Child & Adolescent Health
language:en
Short-container-title:The Lancet Child & Adolescent Health

Author:

Pavel Andreea M,Rennie Janet M,de Vries Linda S,Blennow Mats,Foran Adrienne,Shah Divyen K,Pressler Ronit M,Kapellou Olga,Dempsey Eugene M,Mathieson Sean R,Pavlidis Elena,van Huffelen Alexander C,Livingstone Vicki,Toet Mona C,Weeke Lauren C,Finder Mikael,Mitra Subhabrata,Murray Deirdre M,Marnane William P,Boylan Geraldine B

Publisher

Elsevier BV

Subject

Developmental and Educational Psychology,Pediatrics, Perinatology and Child Health

Reference40 articles.

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3. Contemporary profile of seizures in neonates: a prospective cohort study;Glass;J Pediatr,2016

4. Pharmacological treatment of neonatal seizures: a systematic review;Slaughter;J Child Neurol,2013

5. Defining the gap between electrographic seizure burden, clinical expression and staff recognition of neonatal seizures;Murray;Arch Dis Child Fetal Neonatal Ed,2008

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