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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
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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 Luis, Londral Ana Rita (ed.) Proceedings of the First International Conference on Health Informatics, HEALTHINF 2008, Funchal, Madeira, Portugal, January 28-31, 2008, Volume 2, Setubal, Portugal: INSTICC - Institute for Systems and Technologies of Information, Control and Communication. HEALTHINF - International Conference on Health Informatics 2008, 28.1.2008 - 31.1.2008, Madeira, Portugal, pp. 225-230.
Issue Date: 2008
Conference Name: HEALTHINF - International Conference on Health Informatics 2008
Conference Dates: 2008-01-28T00:00:00Z
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: Author Version
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