Asyms©-serat: a side-effect risk assessment tool to predict chemotherapy related toxicity in patients with cancer receiving chemotherapy

Julie Cowie, Kevin Swingler, Clare Leadbetter, Roma Maguire, Kathryn McCall, Nora Kearney

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

4 Citations (Scopus)

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 that 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 ASyMS

Original languageEnglish
Title of host publicationHEALTHINF 2008 - 1st International Conference on Health Informatics, Proceedings
Place of PublicationPortugal
Pages225-230
Number of pages6
Volume2
Publication statusPublished - 2008
Externally publishedYes
Event1st International Conference on Health Informatics, HEALTHINF 2008 - Funchal, Madeira, Portugal
Duration: 28 Jan 200831 Jan 2008

Conference

Conference1st International Conference on Health Informatics, HEALTHINF 2008
CountryPortugal
CityFunchal, Madeira
Period28/01/0831/01/08

Keywords

  • cancer chemotherapy
  • risk modelling
  • side-effect prediction

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