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Trajectory analysis from longitudinal data

PRECIOUS offers an innovative longitudinal AI service, empowering personalized predictions of mental health and Quality of Life trajectories after the diagnosis of breast cancer. Leveraging trajectory-based unsupervised clustering, it captures dynamic symptom changes in patients after diagnosis, revealing distinct trajectory patterns. Additionally, a robust classification model identifies predictors of symptom progression. The PRECIOUS service goes beyond predicting at early stages the mental health and quality of life evolution of the patients; it delivers actionable insights into modifiable factors influencing these trajectories. Early detection of such factors is vital for tailoring effective preventive psychological programs, enhancing breast cancer patients' resilience.

E. Mylona, K. Kourou, G. Manikis, et al., "Trajectories and Predictors of Depression After Breast Cancer
Diagnosis: A 1-year longitudinal study," 2022 44th Annual International Conference of the IEEE
Engineering in Medicine & Biology Society (EMBC), Glasgow, Scotland, United Kingdom, 2022, pp. 69-72,
doi: 10.1109/EMBC48229.2022.9871647.