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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2023
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Materias: | |
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 |
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