Abstract
This publication presents a solution approach for digitally assisted planning and monitoring of supportive recommendations in cancer patients. This solution approach shall support patients in overcoming the after-effects of therapy effectively without extensive involvement of health professionals. Health professionals and patients are provided with a web application and a mobile application respectively, which use methods from mathematical decision support and artificial intelligence. This technological basis facilitates a closed-loop workflow for the cooperation of health professional and patient in oncological aftercare. The solution approach is illustrated for an exemplary case scenario of colorectal cancer.
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Acknowledgments
The research work presented herein is part of the EU Horizon 2020 project ONCORELIEF (Grant Agreement ID 875392) [5].
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Scherrer, A. et al. (2022). Digitally Assisted Planning and Monitoring of Supportive Recommendations in Cancer Patients. In: Maglogiannis, I., Iliadis, L., Macintyre, J., Cortez, P. (eds) Artificial Intelligence Applications and Innovations. AIAI 2022 IFIP WG 12.5 International Workshops. AIAI 2022. IFIP Advances in Information and Communication Technology, vol 652. Springer, Cham. https://doi.org/10.1007/978-3-031-08341-9_32
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DOI: https://doi.org/10.1007/978-3-031-08341-9_32
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