Input-Output Non-Linear Dynamical Systems applied to Physiological Condition Monitoring

Konstantinos Georgatzis, Christopher K I Williams, Christopher Hawthorne

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We present a non-linear dynamical system for modelling the effect of drug infusions on the vital signs of patients admitted in Intensive Care Units (ICUs). More specifically we are interested in modelling the effect of a widely used anaesthetic drug (Propofol) on a patient’s monitored depth of anaesthesia and haemodynamics. We compare our approach with one from the Pharmacokinetics/Pharmacodynamics
(PK/PD) literature and show that we can provide significant improvements in performance without requiring the incorporation of expert physiological knowledge in our system.
Original languageEnglish
Title of host publicationProceedings of the 1st Machine Learning for Healthcare Conference 2016
PublisherPMLR
Number of pages16
Publication statusPublished - 20 Aug 2016
EventMachine Learning for Healthcare 2016 - Los Angeles, United States
Duration: 19 Aug 201620 Aug 2016
http://mucmd.org/conference-2016.html

Publication series

NameProceedings of Machine Learning Research
PublisherPMLR
Volume56
ISSN (Print)2640-3498

Conference

ConferenceMachine Learning for Healthcare 2016
Abbreviated titleMLHC 2016
Country/TerritoryUnited States
CityLos Angeles
Period19/08/1620/08/16
Internet address

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