This paper is in the following e-collection/theme issue:

Reviews (91) Clinical Informatics (950) Clinical Information and Decision Making (1376) Digital Health, Telehealth and e-Innovation in Clinical Settings (375) Machine Learning (1443) Computer-Aided Diagnosis (110) Computational modeling of biological processes (12)

Published on in Vol 13 (2024)

This is a member publication of CSIRO, Australian e-Health Research Centre, Sydney, Australia

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/46946, first published .
Exploring Computational Techniques in Preprocessing Neonatal Physiological Signals for Detecting Adverse Outcomes: Scoping Review

Exploring Computational Techniques in Preprocessing Neonatal Physiological Signals for Detecting Adverse Outcomes: Scoping Review

Exploring Computational Techniques in Preprocessing Neonatal Physiological Signals for Detecting Adverse Outcomes: Scoping Review

Authors of this article:

Jessica Rahman1 Author Orcid Image ;   Aida Brankovic2 Author Orcid Image ;   Mark Tracy3 Author Orcid Image ;   Sankalp Khanna2 Author Orcid Image
Article Authors Cited by Tweetations (1) Metrics

Jessica Rahman   1 , BSc, PhD ;   Aida Brankovic   2 , PhD ;   Mark Tracy   3 , PhD ;   Sankalp Khanna   2 , PhD

1 Commonwealth Scientific and Industrial Research Organisation (CSIRO) Australian e-Health Research Centre, Australia, Sydney, Australia

2 Commonwealth Scientific and Industrial Research Organisation (CSIRO) Australian e-Health Research Centre, Australia, Brisbane, Australia

3 Neonatal Intensive Care Unit, Westmead, Sydney, Australia

Corresponding Author:

  • Jessica Rahman, BSc, PhD
  • Commonwealth Scientific and Industrial Research Organisation (CSIRO) Australian e-Health Research Centre, Australia
  • 160 Hawkesbury Road
  • Sydney, 2145
  • Australia
  • Phone: 61 02 9325 3016
  • Email: jessica.rahman@csiro.au