Georgios C. Manikis, R. Pat-Horenczyk, D. Fotiadis, M. Tsiknakis, P. Simos, Konstantina D. Kourou, P. Poikonen-Saksela, H. Kondylakis, E. Karademas, K. Marias, Dimitrios G. Katehakis, L. Koumakis, A. Kouroubali
{"title":"Computational Modeling of Psychological Resilience Trajectories During Breast Cancer Treatment","authors":"Georgios C. Manikis, R. Pat-Horenczyk, D. Fotiadis, M. Tsiknakis, P. Simos, Konstantina D. Kourou, P. Poikonen-Saksela, H. Kondylakis, E. Karademas, K. Marias, Dimitrios G. Katehakis, L. Koumakis, A. Kouroubali","doi":"10.1109/BIBE.2019.00082","DOIUrl":null,"url":null,"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.","PeriodicalId":318819,"journal":{"name":"2019 IEEE 19th International Conference on Bioinformatics and Bioengineering (BIBE)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE 19th International Conference on Bioinformatics and Bioengineering (BIBE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BIBE.2019.00082","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
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.