A side-effects mapping model in patients with lung, colorectal and breast cancer receiving chemotherapy

Mazzocco, Thomas; Hussain, Amir

Abstract

Cancer treatments are now more effective than ever and, as a consequence, cancer is becoming a chronic disease. Chemotherapy is a frequently used treatment in people with cancer and it can cause a number of side-effects which if not properly managed could have a negative impact on the patients' quality of life. In this study, a sample of 56 patients receiving chemotherapy treatment for breast, colorectal and lung cancer is considered; each experienced side-effect is recorded during four consecutive treatment cycles (each lasting 14 days). Five of the most frequent side-effects (fatigue, nausea, mucositis, hand and foot sore, diarrhoea) are selected to build a comprehensive model which predicts the probability of experiencing a certain symptom on a specified day of each cycle of therapy. The computed accuracy of results shows that the newly proposed model has an enhanced predictive power compared to a state-of-the-art approach. The information gained from this study will help medical and nursing staff caring for such patients to more accurately predict the side-effects that patients will experience and therefore select appropriate help to minimise, whenever possible, the influence of those symptoms.

Citation

Mazzocco, T., & Hussain, A. (2011, June). A side-effects mapping model in patients with lung, colorectal and breast cancer receiving chemotherapy. Presented at 2011 IEEE 13th International Conference on e-Health Networking, Applications and Services, Columbia, MO, USA

• Presentation Conference Type: Conference Paper (published)
• Conference Name: 2011 IEEE 13th International Conference on e-Health Networking, Applications and Services
• Start Date: Jun 13, 2011
• End Date: Jun 15, 2011
• Online Publication Date: Sep 23, 2011
• Publication Date: 2011
• Deposit Date: Oct 15, 2019
• Publisher: Institute of Electrical and Electronics Engineers
• Pages: 34-39
• Book Title: 2011 IEEE 13th International Conference on e-Health Networking, Applications and Services
• ISBN: 978-1-61284-695-8
• DOI: https://doi.org/10.1109/HEALTH.2011.6026777
• Keywords: Cancer, Predictive models, Computational modeling, Analytical models
• Public URL: http://researchrepository.napier.ac.uk/Output/1793326