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Personalized Risk Analysis to Improve the Psychological Resilience of Women Undergoing Treatment for Breast Cancer: Development of a Machine Learning–Driven Clinical Decision Support Tool

Georgios C Manikis, Nicholas J Simos, Konstantina Kourou, Haridimos Kondylakis, Paula Poikonen-Saksela, Ketti Mazzocco, Ruth Pat-Horenczyk, Berta Sousa, Albino J Oliveira-Maia, Johanna Mattson, Ilan Roziner, Chiara Marzorati, Kostas Marias, Mikko Nuutinen, Evangelos Karademas, Dimitrios Fotiadis

J Med Internet Res 2023;25:e43838

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Predicting Effective Adaptation to Breast Cancer to Help Women BOUNCE Back: Protocol for a Multicenter Clinical Pilot Study

Qo L: quality of life (adapted from Poikonen-Saksela [44], with permission from Paula Poikonen-Saksela). The primary objective of this multicenter clinical pilot study is to identify the interplay of clinical, biomedical, and psychosocial factors in predicting patients’ resilience to breast cancer at several time points after diagnosis. The secondary objectives are as follows: Differentiating between trajectories of psychological adaptation to breast cancer.

Greta Pettini, Virginia Sanchini, Ruth Pat-Horenczyk, Berta Sousa, Marianna Masiero, Chiara Marzorati, Viviana Enrica Galimberti, Elisabetta Munzone, Johanna Mattson, Leena Vehmanen, Meri Utriainen, Ilan Roziner, Raquel Lemos, Diana Frasquilho, Fatima Cardoso, Albino J Oliveira-Maia, Eleni Kolokotroni, Georgios Stamatakos, Riikka-Leena Leskelä, Ira Haavisto, Juha Salonen, Robert Richter, Evangelos Karademas, Paula Poikonen-Saksela, Ketti Mazzocco