Livrables
D23 contains description and quantification if possible of benefits from better resilience both for the individual as well as the society
Communication Activities ReportD8.3 Is as report documenting the communication activities of the project partners.
BOUNCE Requirements & Usage ScenariosD1.2 is the direct outcome of T1.2 and documents the BOUNCE target group segments/characteristics, the BOUNCE usage scenarios, the functional and non-functional requirements, and their translation into systemic and technical requirements.
Data-validated model of the role of resilience and resilience correlates in efficient adaptation to breast cancerD24 contains the conceptual model of resilince factors affecting it and its impacts Model is validated with the data from the pilots
Dissemination & Scientific Workshop Activities ReportD82 Is a report documenting the dissemination clustering and standardization activities as well as the CSIFG related activities of the project partners
Identification of Internal and External Data Sources and RegistriesD3.1 identifies all pre-existing data sets (Consortium-internal and external) that can be used to build a preliminary model of resilience before the pilot studies begin.
Initail Design and Implementation of the Preliminary In Silico Resilience Trajectory PredictorD4.2 contains the mathematical models generated from the data as well as the aggregation of the models. (first version)
BOUNCE Value ChainD1.1 is the direct outcome of T1.1 and documents the value chain of BOUNCE as well as the identified scientific, technical, industrial and societal stakeholders related to the specific value chain.
Predictive accuracy of the In-Silico Resilience Trajectory PredictorD71 aims at validating the predictive model developed based on the pilots and validates the use of predictive tools in BC disease management This deliverable is crucial for the costbenefit analysis
Final semantic model (using real data)D3.3 contains the semantic model, ie the translations necessary to make when integrating separate data sets with different variables and variable names. For the final version real data from the pilot partners will be used
Solutions for Data Aggregation, Cleaning, Harmonization & StorageD33 is the outcome of T32 and T33 It comprises the aggregated cleaned and integrated data sets that have been made interoparable based on the BOUNCE semantic model
Definition and assessment of multi-level factors potentially affecting resilienceD2.2 contains the results of task 2.2: a list of factors potentially affecting resilience, both constant and time-varying.
BOUNCE Conceptual & Reference ArchitectureD5.1 is the direct outcome of Task 5.1, 5.2 and 5.3 and will document the innovative, open, reference architecture of the overall BOUNCE framework and the holistic security approach that will be adopted to safeguard the security of the sensitive information.
Definition and assessment of resilience in women with Breast CancerD2.1 contains the description of the definition of resilience and a list of measures for resilience.
Clinical pilot methodology and preparatory actionsD6.1. contains a description of the pilot protocol including inclusion and exclusion criteria, data to be gathered,points in the treatment process when collect what data, and how to collect and store the data.
Roadmap for developing a predictor for other disease groupsD73 aims at enabling the development and configuration of similar models for other disease groups thus making the development much faster than the development of the InSilico Resilience Trajectory Predictor for BC developed in this study This way the results of this study benefit also other patient groups
BOUNCE MethodologyD1.3 is the direct outcome of T1.3 and documents the elaborated BOUNCE methodology, and the state of the art analysis on existing open source / commercial methods, data services, components and tools that can be integrated into the BOUNCE services and platform infrastructure.
Initial semantic model (using existing data)D3.2 contains the semantic model, ie the translations necessary to make when integrating separate data sets with different variables and variable names. For the initial version exiting data will be used
Cost-benefit analysis of In Silico Resilience Trajectory PredictorD72 aims at demonstrating the benefits to different stakeholders The results of the costbenefit analysis are crucial in justifying the adoption of the predictor in clinical practice
D84 Contains the plan of data management especially storage and usage of data after the project The plan is based on the Guidelines on Open Access to Scientific Publications and Research Data in Horizon 2020 and will be submitted on a voluntary basis to the Open Research Data Pilot
Publications
Auteurs:
E. C. Karademas,I. Roziner,K. Mazzocco,R. Pat-Horenczyk,B. Sousa,A. J Oliveira-Maia,G. Stamatakos,F. Cardoso,D. Frasquilho,E. Kolokotroni,R. Lemos,C. Marzorati,J. Mattson,G. Pettini,E. SpyropoulouORCID Icon,P. Poikonen-Saksela, P. Simos
Publié dans:
Psychology & health., 2022, ISSN 1476-8321
Éditeur:
Harwood Academic Publishers
DOI:
10.1080/08870446.2022.2038157
Auteurs:
Konstantina Kourou; Konstantinos P. Exarchos; Costas Papaloukas; Prodromos Sakaloglou; Themis Exarchos; Dimitrios I. Fotiadis; Dimitrios I. Fotiadis
Publié dans:
Computational and Structural Biotechnology Journal, Numéro Volume 19, 2021, 2021, Page(s) Pages 5546-5555, ISSN 2001-0370
Éditeur:
XXX
DOI:
10.1016/j.csbj.2021.10.006
Auteurs:
Paula Poikonen-Saksela, Eleni Kolokotroni , Leena Vehmanen , Johanna Mattson , Georgios Stamatakos , Riikka Huovinen , Pirkko-Liisa Kellokumpu-Lehtinen , Carl Blomqvist , Tiina Saarto
Publié dans:
Scientific Reports, 2022, ISSN 2045-2322
Éditeur:
Nature Publishing Group
DOI:
10.1038/s41598-022-06138-2
Auteurs:
Evangelos C. Karademas,Panagiotis Simos,Ruth Pat-Horenczyk,Ilan Roziner,Ketti Mazzocco,Berta Sousa,Albino J. Oliveira-Maia,Georgios Stamatakos,Fatima Cardoso,Diana Frasquilho,Eleni Kolokotroni,Chiara Marzorati,Johanna Mattson,Greta Pettini,Paula Poikonen-Sakselaon behalf of BOUNCE consortium
Publié dans:
Psychooncology, 2021, ISSN 1099-1611
Éditeur:
Wiley
DOI:
10.1002/pon.5730
Auteurs:
S. Almeida; Diana Frasquilho; Gonçalo Cotovio; Fernando Luiz Emerenciano Viana; Berta Sousa; J. Oliveira; Johanna Mattson; Chiara Marzorati; Ilan Roziner; Evangelos C. Karademas; Eleni Kolokotroni; Georgios S. Stamatakos; Ketti Mazzocco; Ruth Pat-Horenczyk; Paula Poikonen-Saksela; Fatima Cardoso; Albino J. Oliveira-Maia
Publié dans:
Annals of Oncology, Numéro MAY 01, 2021, 2021, Page(s) xx, ISSN 2692-7950
Éditeur:
xx
DOI:
10.1016/j.annonc.2021.03.146
Auteurs:
Konstantina Kourou , Georgios Manikis , Paula Poikonen-Saksela , Ketti Mazzocco, Ruth Pat-Horenczyk , Berta Sousa , Albino J Oliveira-Maia , Johanna Mattson , Ilan Roziner , Greta Pettini , Haridimos Kondylakis , Kostas Marias , Evangelos Karademas , Panagiotis Simos , Dimitrios I Fotiadis
Publié dans:
Computers in biology and medicine, Numéro Volume 131, April 2021, 104266, 2021, ISSN 1879-0534
Éditeur:
Elsevier
DOI:
10.1016/j.compbiomed.2021.104266
Auteurs:
Ribeiro, Gabriela; Camacho, Marta; Santos, Osvaldo; Pontes, Cristina; Torres, Sandra; Maia, Albino J. Oliveira
Publié dans:
Association between hedonic hunger and body-mass index versus obesity status, Numéro Published: 11 April 2018, 2018, Page(s) 5857 (2018), ISSN 2045-2322
Éditeur:
Nature Publishing Group
DOI:
10.1038/s41598-018-23988-x
Auteurs:
E. C. Karademas, P. Simos, R. Pat-Horenczyk, I. Roziner, K. Mazzocco, B. Sousa, G. Stamatakos, G. Tsakou, F. Cardoso, D. Frasquilho, E. Kolokotroni, C. Marzorati, J. Mattson, A. J. Oliveira-Maia, K. Perakis, G. Pettini, L. Vehmanen & P. Poikonen-Saksela
Publié dans:
Journal of clinical psychology in medical settings, 2022, ISSN 1573-3572
Éditeur:
Springer
DOI:
10.1007/s10880-022-09872-x
Auteurs:
Pettini, Virginia Sanchini, Ruth Pat-Horenczyk, Berta Sousa, Marianna Masiero, Chiara Marzorati, Viviana Galimberti, Elisabetta Munzone, Johanna Mattson, Leena Vehmanen, Meri Utriainen, Ilan Roziner, Raquel Lemos, Diana Frasquilho, Fatima Cardoso, Albino Oliveira-Maia, Eleni Kolokotroni, Georgios S Stamatakos, Riikka-Leena Leskelä, Ira Haavisto, Juha Salonen, Robert Richter, Evangelos C Karademas
Publié dans:
XX, Numéro XX, 2022, Page(s) XX
Éditeur:
XX
Auteurs:
Haridimos Kondylakis; Niv Dayan; Kostas Zoumpatianos; Themis Palpanas
Publié dans:
Proceedings of the VLDB Endowment, Numéro 1, 2018
Éditeur:
VLDB Endowment
DOI:
10.14778/3199517.3199519
Auteurs:
Katehakis, D.G., Kondylakis, H., Koumakis, L., Kouroubali, A., Marias, K., Tsiknakis, M.N., Simos, P.G., & Karademas, E
Publié dans:
32nd IEEE International Symposium on Computer-Based Medical Systems (CBMS 2019), 2019
Éditeur:
Ieee
DOI:
10.1109/cbms.2019.00134
Auteurs:
G. Agathangelos, G. Troullinou, H. Kondylakis, K. Stefanidis and D. Plexousakis
Publié dans:
Conference on Data Engineering Workshops (ICDEW), 2018, pp. 54-59, 2018
Éditeur:
IEEE
DOI:
10.1109/icdew.2018.00016
Auteurs:
Vardalachakis, v, Kondylakis, H., Koumakis, L., Kouroubali, A., & Katehakis, D.G
Publié dans:
International Conference on Information and Communication Technologies for Ageing Well and e-Health, (ICT4AWE), 2019, Page(s) 325-332
Éditeur:
ICT4AWE
DOI:
10.5220/0007798603250332
Auteurs:
Haridimos Kondylakis, Cristian Axenie, Dhundy Kiran Bastola, Dimitrios G Katehakis, Angelina Kouroubali , Daria Kurz, Nekane Larburu, Iván Macía, Roma Maguire, Christos Maramis , Kostas Marias , Philip Morrow , Naiara Muro , Francisco José Núñez-Benjumea, Andrik Rampun, Octavio Rivera-Romero, Bryan Scotney, Gabriel Signorelli, Hui Wang, Manolis Tsiknakis, Reyer Zwiggelaar
Publié dans:
J Med Internet Res. 2020 Dec 15;22(12):e22034., 2020
Éditeur:
J Med Internet Res
DOI:
10.2196/22034
Auteurs:
Papakonstantinou, Aris & Kondylakis, Haridimos & Marakakis, Emmanouil
Publié dans:
PETRA '20: Proceedings of the 13th ACM International Conference on PErvasive Technologies Related to Assistive Environments, Numéro Article No.: 45, 2020, Page(s) Pages 1–6
Éditeur:
Association for Computing Machinery
DOI:
10.1145/3389189.3397980
Auteurs:
Giannoulis, Michail & Kondylakis, Haridimos & Marakakis, Emmanouil
Publié dans:
2018, Page(s) 441-448
Éditeur:
Association for Computing Machinery
DOI:
10.1145/3197768.3201555
Auteurs:
Eugenia Mylona, Konstantina Kourou, Georgios Manikis, Haridimos Kondylakis, Kostas Marias, Evangelos Karademas, Paula Poikonen-Saksela, Ketti Mazzocco, Chiara Marzorati, Ruth Pat-Horenczyk, Ilan Roziner, Berta Sousa, Albino Oliveira-Maia, Panagiotis Simos, Dimitrios I Fotiadis
Publié dans:
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, 2021
Éditeur:
IEEE
DOI:
10.1109/embc46164.2021.9629589
Auteurs:
Manikis, G., Kourou, K, Poikonen-Saksela, P, Kondylakis, H., Karademas, E, Marias, K., Katehakis, D.G., Koumakis, L., Kouroubali, A., PatHorenczyk, R, Fotiadis, D.I., Tsiknakis, M.N., & Simos, P.G
Publié dans:
IEEE 19th International Conference on Bioinformatics and Bioengineering (BIBE), 2019
Éditeur:
Ieee
DOI:
10.1109/bibe.2019.00082
Auteurs:
Chatzidimitriou, Evangelos & Kolokotroni, Eleni & Pat-Horenczyk, Ruth & Pery, Shahar & Hamama-Raz, Yaira & Stemmer, Salomon & Tziraki, Chariklia & Stamatakos, Georgios.
Publié dans:
2020, Page(s) Volume: pp. 573-574
Éditeur:
Conference: VPH2020 (Virtual Physiological Human Conference 2020
Auteurs:
Stefanos Zervoudakis, Emmanouil Marakakis, Haridimos Kondylakis, and Stefanos Goumas
Publié dans:
2021, Page(s) Pages 277–283
Éditeur:
Association for Computing Machinery
DOI:
10.1145/3453892.3462696
Auteurs:
Kourou, K, Kondylakis, H., Koumakis, L., Manikis, G., Marias, K., Tsiknakis, M.N., Simos, P.G., & Karademas, E, Fotiadis
Publié dans:
IEEE International Conference on Biomedical and Health Informatics (BHI'19), 2019
Éditeur:
IEEE International Conference on Biomedical and Health Informatics (BHI'19)
Auteurs:
Kourou, K, Kondylakis, H., Koumakis, L., Manikis, G., Marias, K., Tsiknakis, M.N., Simos, P.G., & Karademas, E, Fotiadis, D.I.
Publié dans:
2019, Page(s) 518-525
Éditeur:
Springer
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