Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/1976
Appears in Collections:Computing Science and Mathematics Conference Papers and Proceedings
Peer Review Status: Refereed
Author(s): Cowie, Julie
Swingler, Kevin
Leadbetter, Clare
Maguire, Roma
McCall, Kathryn
Kearney, Nora
Contact Email: jco@cs.stir.ac.uk
Title: ASYMS-SERAT: A Side-Effect Risk Assessment Tool to Predict Chemotherapy Related Toxicity in Patients with Cancer Receiving Chemotherapy
Editor(s): Azevedo, Luis
Londral, Ana Rita
Citation: Cowie J, Swingler K, Leadbetter C, Maguire R, McCall K & Kearney N (2008) ASYMS-SERAT: A Side-Effect Risk Assessment Tool to Predict Chemotherapy Related Toxicity in Patients with Cancer Receiving Chemotherapy. In: Azevedo L & Londral AR (eds.) Proceedings of the First International Conference on Health Informatics, HEALTHINF 2008, Funchal, Madeira, Portugal, January 28-31, 2008, Volume 2. HEALTHINF - International Conference on Health Informatics 2008, Madeira, Portugal, 28.01.2008-31.01.2008. Setubal, Portugal: INSTICC - Institute for Systems and Technologies of Information, Control and Communication, pp. 225-230. http://www.healthinf.biostec.org/Healthinf2008/
Issue Date: 2008
Date Deposited: 8-Jan-2010
Conference Name: HEALTHINF - International Conference on Health Informatics 2008
Conference Dates: 2008-01-28 - 2008-01-31
Conference Location: Madeira, Portugal
Abstract: Patients undergoing chemotherapy want specific information on potential toxicities of their treatment. Such information includes what side-effects they are likely to experience, how severe these side-effects will be, how long they will experience them for, and the best ways of managing them. As well as improving the experiences of patients, information about potential side-effects may also be of significant benefit clinically, as patients who are ‘at risk’ of developing certain toxicities may be identified, facilitating more targeted, cost-effective interventions. This paper describes research which uses risk modelling techniques for identifying patterns in patient side-effect data to aid in predicting side-effects patients are likely to experience. Through analysis of patient data, a patient can receive information specific to the symptoms they are likely to experience. A user-friendly software tool SERAT (Side-Effect Risk Assessment Tool) has been developed, which presents side-effect information to the patients both at the start of treatment and reviews and monitors predictions with each new cycle of chemotherapy received.
Status: AM - Accepted Manuscript
Rights: ASyMS(c); The publisher has not responded to our queries therefore this work cannot be made publicly available in this Repository. Please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author; you can only request a copy if you wish to use this work for your own research or private study.
URL: http://www.healthinf.biostec.org/Healthinf2008/
Licence URL(s): http://www.rioxx.net/licenses/under-embargo-all-rights-reserved

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