Computational modeling of psychological resilience trajectories during breast cancer treatment

Georgios C. Manikis, Ruth Pat-Horenczyk, Dimitrios I. Fotiadis, Manolis Tsiknakis, Panagiotis Simos, Konstantina Kourou, Paula Poikonen-Saksela, Haridimos Kondylakis, Evangelos Karademas, Kostas Marias, Dimitrios G. Katehakis, Lefteris Koumakis, Angelina Kouroubali

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

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 languageAmerican English
Title of host publicationProceedings - 2019 IEEE 19th International Conference on Bioinformatics and Bioengineering, BIBE 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages423-427
Number of pages5
ISBN (Electronic)9781728146171
DOIs
StatePublished - Oct 2019
Event19th International Conference on Bioinformatics and Bioengineering, BIBE 2019 - Athens, Greece
Duration: 28 Oct 201930 Oct 2019

Publication series

NameProceedings - 2019 IEEE 19th International Conference on Bioinformatics and Bioengineering, BIBE 2019

Conference

Conference19th International Conference on Bioinformatics and Bioengineering, BIBE 2019
Country/TerritoryGreece
CityAthens
Period28/10/1930/10/19

Bibliographical note

Publisher Copyright:
© 2019 IEEE.

Keywords

  • Cancer
  • Computational Modeling
  • Machine Learning
  • Resilience

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