Temporal convolutional networks allow early prediction of events in critical care.

Journal: Journal of the American Medical Informatics Association : JAMIA

Published Date: Mar 1, 2020

Abstract

OBJECTIVE: Clinical interventions and death in the intensive care unit (ICU) depend on complex patterns in patients' longitudinal data. We aim to anticipate these events earlier and more consistently so that staff can consider preemptive action.

Authors

Finneas J R Catling

Division of Surgery and Allied Specialities, Barnet Hospital, Royal Free London NHS Foundation Trust, London, UK.
Anthony H Wolff

Division of Surgery and Allied Specialities, Barnet Hospital, Royal Free London NHS Foundation Trust, London, UK.

Keywords

Aged Aged, 80 and over Computer Simulation Critical Care Female Hospital Mortality Hospitalization Humans Intensive Care Units Logistic Models Machine Learning Male Middle Aged Neural Networks, Computer Prognosis

External Resources

View on PubMed Access via DOI PubMed (31858114)

Temporal convolutional networks allow early prediction of events in critical care.

Abstract

Authors

Keywords

External Resources

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