Machine Learning to Support Hemodynamic Intervention in the Neonatal Intensive Care Unit.

Journal: Clinics in perinatology
PMID: 32713443

Abstract

Hemodynamic support in neonatal intensive care is directed at maintaining cardiovascular wellbeing. At present, monitoring of vital signs plays an essential role in augmenting care in a reactive manner. By applying machine learning techniques, a model can be trained to learn patterns in time series data, allowing the detection of adverse outcomes before they become clinically apparent. In this review we provide an overview of the different machine learning techniques that have been used to develop models in hemodynamic care for newborn infants. We focus on their potential benefits, research pitfalls, and challenges related to their implementation in clinical care.

Authors

  • David Van Laere
    Department of Neonatal Intensive Care, University Hospital Antwerp, Wilrijkstraat 10, Edegem BE-2650, Belgium; Laboratory of Pediatrics, Department of Life Sciences, University of Antwerp, Prinsstraat 13, Antwerpen 2000, Belgium. Electronic address: David.Vanlaere@uza.be.
  • Marisse Meeus
    Department of Neonatal Intensive Care, University Hospital Antwerp, Wilrijkstraat 10, Edegem BE-2650, Belgium; Laboratory of Pediatrics, Department of Life Sciences, University of Antwerp, Prinsstraat 13, Antwerpen 2000, Belgium.
  • Charlie Beirnaert
    Adrem Data Lab, Department of Mathematics and Computer Science, University of Antwerp, Middelheimlaan 1, Antwerpen 2020, Belgium.
  • Victor Sonck
    ML6, Esplanade Oscar Van De Voorde 1, Ghent 9000, Belgium.
  • Kris Laukens
    Adrem Data Lab, Department of Computer Science, University of Antwerp, Antwerp, Belgium; Antwerp Unit for Data Analysis and Computation in Immunology and Sequencing (AUDACIS), University of Antwerp, Antwerp, Belgium; Biomedical Informatics Research Network Antwerp (Biomina), University of Antwerp, Antwerp, Belgium.
  • Ludo Mahieu
    Department of Neonatal Intensive Care, University Hospital Antwerp, Wilrijkstraat 10, Edegem BE-2650, Belgium; Laboratory of Pediatrics, Department of Life Sciences, University of Antwerp, Prinsstraat 13, Antwerpen 2000, Belgium.
  • Antonius Mulder
    Department of Neonatal Intensive Care, University Hospital Antwerp, Wilrijkstraat 10, Edegem BE-2650, Belgium; Laboratory of Pediatrics, Department of Life Sciences, University of Antwerp, Prinsstraat 13, Antwerpen 2000, Belgium.

Keywords

External Resources

Popular Topics
Recent Journals