Federating distributed clinical data for the prediction of adverse hypotensive events

Stell, A.J. et al. (2009) Federating distributed clinical data for the prediction of adverse hypotensive events. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 367(1898), pp. 2679-2690. (doi: 10.1098/rsta.2009.0042)

Abstract

The ability to predict adverse hypotensive events, where a patient's arterial blood pressure drops to abnormally low (and dangerous) levels, would be of major benefit to the fields of primary and secondary health care, and especially to the traumatic brain injury domain. A wealth of data exist in health care systems providing information on the major health indicators of patients in hospitals (blood pressure, temperature, heart rate, etc.). It is believed that if enough of these data could be drawn together and analysed in a systematic way, then a system could be built that will trigger an alarm predicting the onset of a hypotensive event over a useful time scale, e.g. half an hour in advance. In such circumstances, avoidance measures can be taken to prevent such events arising. This is the basis for the Avert-IT project (http://www.avert-it.org), a collaborative EU-funded project involving the construction of a hypotension alarm system exploiting Bayesian neural networks using techniques of data federation to bring together the relevant information for study and system development.

• Item Type: Articles
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Stell, Mr Anthony and Piper, Dr Ian and Jiang, Mr Jipu and Sinnott, Professor Richard
• Authors: Stell, A.J., Sinnott, R.O., Jiang, J., Donald, R., Chambers, I., Citerio, G., Enblad, P., Gregson, B., Howells, T., Kiening, K., Nilsson, P., Ragauskas, A., Sahuquillo, J., and Piper, I.
• Subjects: R Medicine > R Medicine (General); Q Science > QA Mathematics > QA75 Electronic computers. Computer science
• College/School: College of Medical Veterinary and Life Sciences; University Services > IT Services > Computing Service
• Journal Name: Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
• Publisher: Royal Society
• ISSN: 1364-503X
• Copyright Holders: Copyright © 2009 The Royal Society
• First Published: First published in Royal Society of London Philosophical Transactions A: Mathematical, Physical and Engineering Sciences 367(1898):2679-2690
• Publisher Policy: Reproduced in accordance with the copyright policy of the publisher.