A machine learning-based pipeline for modeling medical, socio-demographic, lifestyle and self-reported psychological traits as predictors of mental health outcomes after breast cancer diagnosis: An initial effort to define resilience effects. - Konstantina Kourou; Georgios C. 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; et al. (Comput. Biol. Medicine, 2021)

Impact of Machine Learning Assistance on the Quality of Life Prediction for Breast Cancer Patients. - Mikko Nuutinen; Sonja Korhonen; Anna-Maria Hiltunen; Ira Haavisto; Paula Poikonen-Saksela; Johanna Mattson; Haridimos Kondylakis; Ketti Mazzocco; Ruth Pat-Horenczyk; Berta Sousa; Riikka-Leena Leskelä (HEALTHINF, 2022)