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 language | English |
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Title of host publication | HEALTHINF 2008 - 1st International Conference on Health Informatics, Proceedings |
Place of Publication | Portugal |
Pages | 225-230 |
Number of pages | 6 |
Volume | 2 |
Publication status | Published - 2008 |
Externally published | Yes |
Event | 1st International Conference on Health Informatics, HEALTHINF 2008 - Funchal, Madeira, Portugal Duration: 28 Jan 2008 → 31 Jan 2008 |
Conference
Conference | 1st International Conference on Health Informatics, HEALTHINF 2008 |
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Country/Territory | Portugal |
City | Funchal, Madeira |
Period | 28/01/08 → 31/01/08 |
Keywords
- cancer chemotherapy
- risk modelling
- side-effect prediction