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

• Main Authors: Georgios C Manikis (Author), Nicholas J Simos (Author), Konstantina Kourou (Author), Haridimos Kondylakis (Author), Paula Poikonen-Saksela (Author), Ketti Mazzocco (Author), Ruth Pat-Horenczyk (Author), Berta Sousa (Author), Albino J Oliveira-Maia (Author), Johanna Mattson (Author), Ilan Roziner (Author), Chiara Marzorati (Author), Kostas Marias (Author), Mikko Nuutinen (Author), Evangelos Karademas (Author), Dimitrios Fotiadis (Author)
• Format: Book
• Published: JMIR Publications, 2023-06-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

BackgroundHealth professionals are often faced with the need to identify women at risk of manifesting poor psychological resilience following the diagnosis and treatment of breast cancer. Machine learning algorithms are increasingly used to support clinical decision support (CDS) tools in helping he...