Computational Modeling of Psychological Resilience Trajectories During Breast Cancer Treatment
- Resource Type
- Conference
- Authors
- Manikis, Georgios C.; Kourou, Konstantina; Poikonen-Saksela, Paula; Kondylakis, Haridimos; Karademas, Evangelos; Marias, Kostas; Katehakis, Dimitrios G.; Koumakis, Lefteris; Kouroubali, Angelina; Pat-Horenczyk, Ruth; Fotiadis, Dimitrios I.; Tsiknakis, Manolis; Simos, Panagiotis
- Source
- 2019 IEEE 19th International Conference on Bioinformatics and Bioengineering (BIBE) Bioinformatics and Bioengineering (BIBE), 2019 IEEE 19th International Conference on. :423-427 Oct, 2019
- Subject
- Bioengineering
Communication, Networking and Broadcast Technologies
Computing and Processing
Signal Processing and Analysis
Resilience
Trajectory
Psychology
Breast cancer
Predictive models
Adaptation models
Computational Modeling, Machine Learning, Resilience, Cancer
- Language
- ISSN
- 2471-7819
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.