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Prediction of Poor Mental Health Following Breast Cancer Diagnosis Using Random Forests1., , , , , , , , , and 5 other author(s). EMBC, page 1753-1756. IEEE, (2021)Predicting Quality of Life for Breast Cancer Patients *., , , , , , , , , and 3 other author(s). BHI, page 1-4. IEEE, (2023)Impact of Machine Learning Assistance on the Quality of Life Prediction for Breast Cancer Patients., , , , , , , , , and 1 other author(s). HEALTHINF, page 344-352. SCITEPRESS, (2022)Positive Technologies for Promoting Emotion Regulation Abilities in Adolescents., , , , , , and . eHealth 360°, volume 181 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 169-174. Springer, (2016)Explainable machine learning analysis of longitudinal mental health trajectories after breast cancer diagnosis., , , , , , , , , and 2 other author(s). BHI, page 1-4. IEEE, (2022)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., , , , , , , , , and 5 other author(s). Comput. Biol. Medicine, (2021)Trajectories and Predictors of Depression After Breast Cancer Diagnosis: A 1-year longitudinal study., , , , , , , , , and 5 other author(s). EMBC, page 69-72. IEEE, (2022)Computational Modeling of Psychological Resilience Trajectories During Breast Cancer Treatment., , , , , , , , , and 3 other author(s). BIBE, page 423-427. IEEE, (2019)