|Appears in Collections:||Computing Science and Mathematics Conference Papers and Proceedings|
|Peer Review Status:||Refereed|
|Title:||ASYMS-SERAT: A Side-Effect Risk Assessment Tool to Predict Chemotherapy Related Toxicity in Patients with Cancer Receiving Chemotherapy|
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, 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, HEALTHINF - International Conference on Health Informatics 2008, Madeira, Portugal, Setubal, Portugal: INSTICC - Institute for Systems and Technologies of Information, Control and Communication, pp. 225-230.|
|Conference Name:||HEALTHINF - International Conference on Health Informatics 2008|
|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.|
|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.|
|Affiliation:||Computing Science and Mathematics|
Computing Science - CSM Dept
University of Stirling
Cancer Care Research Centre
University of Stirling
HS Research - Stirling
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