Explaining Anomalous Responses to Treatment in the Intensive Care Unit
The Intensive Care Unit (ICU) provides treatment to critically ill patients. 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 us. 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.
KeywordsIntensive Care Unit Senior Consultant Anomalous Data Temporal Abstraction Case Base Reasoning System
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- 1.Pythia Project, http://mimic.mit.edu/index.html
- 2.Heindl, B., Schmidt, R., Schmid, G., Haller, M., Pfaller, P., Gierl, L., Pollwein, B.: A case-based consiliarius for therapy recommendation(ICONS):computer-based advice for calculated antibiotic therapy in intensive care medicine. Computer Methods and Programs in Biomedicine 52, 117–127 (1997)CrossRefPubMedGoogle Scholar
- 4.Kuhn, D.: The structure of scientific revolutions. University of Chicago Press (1962)Google Scholar
- 6.Anders Ericsson, K., Simon, H.A.: Protocol analysis: verbal reports as data. MIT Press, Cambridge (1993)Google Scholar
- 7.Walker, M.G., Wiederhold, G.: Acquisition and Validation of Knowledge from Data. Intelligent Systems, 415–428 (1990)Google Scholar
- 8.Miksch, S., Horn, W., Popow, C., Paky, F.: VIE-VENT: knowledge-based monitoring and therapy planning of the artificial ventilation of newborn infants. Artificial Intelligence in Medicine 10, 218–229 (1993)Google Scholar
- 10.Bridewell, W., Buchanan, B.G.: Extracting Plausible Explanations of Anomalous Data. Technical reportGoogle Scholar