Stell, A., Moss, L. and Piper, I. (2012) Knowledge-driven Inference of Medical Interventions. In: 2012 25th IEEE International Symposium on Computer-Based Medical Systems (CBMS), Rome, Italy, 20-22 Jun 2012, ISBN 9781467320511 (doi: 10.1109/CBMS.2012.6266389)
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Abstract
Physiological monitoring equipment routinely collects large amounts of time series patient data. In addition to influencing the treatment of a patient, this data is often used in medical research. However, treatment data (e.g. sedation) can be difficult to collect. In this paper we describe the AMITIE (Automated Medical Intervention and Treatment Inference Engine) system which infers a medical intervention from physiological time series data. The system comprises several domain ontologies and an algorithm to detect abnormal physiological readings and infer the subsequent associated medical intervention. To evaluate this approach we have applied AMITIE in the neuro-intensive care unit domain.
| Item Type: | Conference Proceedings |
|---|---|
| Status: | Published |
| Refereed: | Yes |
| Glasgow Author(s) Enlighten ID: | Stell, Mr Anthony and Piper, Dr Ian and Moss, Dr Laura |
| Authors: | Stell, A., Moss, L., and Piper, I. |
| College/School: | College of Medical Veterinary and Life Sciences > School of Medicine, Dentistry & Nursing |
| ISSN: | 1063-7125 |
| ISBN: | 9781467320511 |
| Published Online: | 31 August 2012 |
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