Explaining Anomalous Responses to Treatment in the Intensive Care Unit

Laura Moss, Derek Sleeman, Malcolm Booth, Malcolm Daniel, Lyndsay Donaldson, Charlotte Gilhooly, Martin Hughes, Malcolm Sim, John Kinsella

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

The Intensive Care Unit (ICU) provides treatment to critically ill patient's. When a patient does not respond as expected to such treatment it can be challenging for clinicians, especially junior clinicians, as they may not have the relevant experience to understand the patient's anomalous response. Datasets for 10 patients from Glasgow Royal Infirmary's ICU have been made available to its. We asked several ICU clinicians to review these datasets and to suggest. sequences which include anomalous or unusual reactions to treatment. Further, we then asked two ICU clinicians if they agreed with their colleagues assessments, and if they did to provide possible explanations for these anomalous sequences. Subsequently we have developed a system which is able to replicate the clinicians' explanations based on the knowledge contained in its several ontologies: further the system can suggest additional explanations which will be evaluated by the senior consultant.

Original languageEnglish
Pages (from-to)250-254
Number of pages5
JournalLecture Notes in Computer Science
Volume5651
DOIs
Publication statusPublished - 2009
Event12th Conference on Artificial Intelligence in Medicine, AIME 2009 - Verona, Italy
Duration: 18 Jul 200922 Jul 2009

Keywords

  • anomalies
  • knowledge Based systems

Cite this

Moss, L., Sleeman, D., Booth, M., Daniel, M., Donaldson, L., Gilhooly, C., Hughes, M., Sim, M., & Kinsella, J. (2009). Explaining Anomalous Responses to Treatment in the Intensive Care Unit. Lecture Notes in Computer Science, 5651, 250-254. https://doi.org/10.1007/978-3-642-02976-9_36