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

doi:10.1109/BIBE.2019.00082

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

The Paul Baerwald School of Social Work and Social Welfare

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-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 language	English
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	https://doi.org/10.1109/BIBE.2019.00082
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

Conference

Conference	19th International Conference on Bioinformatics and Bioengineering, BIBE 2019
Country/Territory	Greece
City	Athens
Period	28/10/19 → 30/10/19

Bibliographical note

Publisher Copyright:
© 2019 IEEE.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Cancer
Computational Modeling
Machine Learning
Resilience

Access to Document

10.1109/BIBE.2019.00082

Cite this

Manikis, G. C., Pat-Horenczyk, R., Fotiadis, D. I., Tsiknakis, M., Simos, P., Kourou, K., Poikonen-Saksela, P., Kondylakis, H., Karademas, E., Marias, K., Katehakis, D. G., Koumakis, L., & Kouroubali, A. (2019). Computational modeling of psychological resilience trajectories during breast cancer treatment. In Proceedings - 2019 IEEE 19th International Conference on Bioinformatics and Bioengineering, BIBE 2019 (pp. 423-427). Article 8941619 (Proceedings - 2019 IEEE 19th International Conference on Bioinformatics and Bioengineering, BIBE 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BIBE.2019.00082

Manikis, Georgios C. ; Pat-Horenczyk, Ruth ; Fotiadis, Dimitrios I. et al. / Computational modeling of psychological resilience trajectories during breast cancer treatment. Proceedings - 2019 IEEE 19th International Conference on Bioinformatics and Bioengineering, BIBE 2019. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 423-427 (Proceedings - 2019 IEEE 19th International Conference on Bioinformatics and Bioengineering, BIBE 2019).

@inproceedings{0ca46b7f6ad143139da3eb426e2ba9cc,

title = "Computational modeling of psychological resilience trajectories during breast cancer treatment",

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.",

keywords = "Cancer, Computational Modeling, Machine Learning, Resilience",

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

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 19th International Conference on Bioinformatics and Bioengineering, BIBE 2019 ; Conference date: 28-10-2019 Through 30-10-2019",

year = "2019",

month = oct,

doi = "10.1109/BIBE.2019.00082",

language = "אנגלית",

series = "Proceedings - 2019 IEEE 19th International Conference on Bioinformatics and Bioengineering, BIBE 2019",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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booktitle = "Proceedings - 2019 IEEE 19th International Conference on Bioinformatics and Bioengineering, BIBE 2019",

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Manikis, GC, Pat-Horenczyk, R, Fotiadis, DI, Tsiknakis, M, Simos, P, Kourou, K, Poikonen-Saksela, P, Kondylakis, H, Karademas, E, Marias, K, Katehakis, DG, Koumakis, L & Kouroubali, A 2019, Computational modeling of psychological resilience trajectories during breast cancer treatment. in Proceedings - 2019 IEEE 19th International Conference on Bioinformatics and Bioengineering, BIBE 2019., 8941619, Proceedings - 2019 IEEE 19th International Conference on Bioinformatics and Bioengineering, BIBE 2019, Institute of Electrical and Electronics Engineers Inc., pp. 423-427, 19th International Conference on Bioinformatics and Bioengineering, BIBE 2019, Athens, Greece, 28/10/19. https://doi.org/10.1109/BIBE.2019.00082

Computational modeling of psychological resilience trajectories during breast cancer treatment. / Manikis, Georgios C.; Pat-Horenczyk, Ruth; Fotiadis, Dimitrios I. et al.
Proceedings - 2019 IEEE 19th International Conference on Bioinformatics and Bioengineering, BIBE 2019. Institute of Electrical and Electronics Engineers Inc., 2019. p. 423-427 8941619 (Proceedings - 2019 IEEE 19th International Conference on Bioinformatics and Bioengineering, BIBE 2019).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Manikis, Georgios C.

AU - Pat-Horenczyk, Ruth

AU - Fotiadis, Dimitrios I.

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AU - Simos, Panagiotis

AU - Kourou, Konstantina

AU - Poikonen-Saksela, Paula

AU - Kondylakis, Haridimos

AU - Karademas, Evangelos

AU - Marias, Kostas

AU - Katehakis, Dimitrios G.

AU - Koumakis, Lefteris

AU - Kouroubali, Angelina

PY - 2019/10

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AB - 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.

KW - Cancer

KW - Computational Modeling

KW - Machine Learning

KW - Resilience

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

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 19th International Conference on Bioinformatics and Bioengineering, BIBE 2019

Y2 - 28 October 2019 through 30 October 2019

ER -

Manikis GC, Pat-Horenczyk R, Fotiadis DI, Tsiknakis M, Simos P, Kourou K et al. Computational modeling of psychological resilience trajectories during breast cancer treatment. In Proceedings - 2019 IEEE 19th International Conference on Bioinformatics and Bioengineering, BIBE 2019. Institute of Electrical and Electronics Engineers Inc. 2019. p. 423-427. 8941619. (Proceedings - 2019 IEEE 19th International Conference on Bioinformatics and Bioengineering, BIBE 2019). doi: 10.1109/BIBE.2019.00082

Computational modeling of psychological resilience trajectories during breast cancer treatment

Abstract

Publication series

Conference

Bibliographical note

UN SDGs

Keywords

Access to Document

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