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

BACKGROUND: Health 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...

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Detalles Bibliográficos
Autores principales: C Manikis, Georgios, Simos, Nicholas J, Kourou, Konstantina, Kondylakis, Haridimos, Poikonen-Saksela, Paula, Mazzocco, Ketti, Pat-Horenczyk, Ruth, Sousa, Berta, Oliveira-Maia, Albino J, Mattson, Johanna, Roziner, Ilan, Marzorati, Chiara, Marias, Kostas, Nuutinen, Mikko, Karademas, Evangelos, Fotiadis, Dimitrios
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2023
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10337304/
https://www.ncbi.nlm.nih.gov/pubmed/37307043
http://dx.doi.org/10.2196/43838

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10337304/
https://www.ncbi.nlm.nih.gov/pubmed/37307043
http://dx.doi.org/10.2196/43838

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