Abstract
Coping with breast cancer and its consequences has now become a major socioeconomic challenge. The BOUNCE EU H2020 project aims at building a quantitative mathematical model of factors associated with optimal adjustment capacity to cancer. This paper gives an overview of the project targets and on the algorithmic methods focusing on modeling the psychological resilience trajectories during breast cancer treatment.
Original language | English |
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Title of host publication | Proceedings - 2019 IEEE 19th International Conference on Bioinformatics and Bioengineering, BIBE 2019 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 423-427 |
Number of pages | 5 |
ISBN (Electronic) | 9781728146171 |
DOIs | |
State | Published - Oct 2019 |
Event | 19th International Conference on Bioinformatics and Bioengineering, BIBE 2019 - Athens, Greece Duration: 28 Oct 2019 → 30 Oct 2019 |
Publication series
Name | Proceedings - 2019 IEEE 19th International Conference on Bioinformatics and Bioengineering, BIBE 2019 |
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Conference
Conference | 19th International Conference on Bioinformatics and Bioengineering, BIBE 2019 |
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Country/Territory | Greece |
City | Athens |
Period | 28/10/19 → 30/10/19 |
Bibliographical note
Publisher Copyright:© 2019 IEEE.
Keywords
- Cancer
- Computational Modeling
- Machine Learning
- Resilience