Personalized prediction of one-year mental health deterioration using adaptive learning algorithms: a multicenter breast cancer prospective study

Identifying individual patient characteristics that contribute to long-term mental health deterioration following diagnosis of breast cancer (BC) is critical in clinical practice. The present study employed a supervised machine learning pipeline to address this issue in a subset of data from a prosp...

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Detalles Bibliográficos
Autores principales: Kourou, Konstantina, Manikis, Georgios, Mylona, Eugenia, Poikonen-Saksela, Paula, Mazzocco, Ketti, Pat-Horenczyk, Ruth, Sousa, Berta, Oliveira-Maia, Albino J., Mattson, Johanna, Roziner, Ilan, Pettini, Greta, Kondylakis, Haridimos, Marias, Kostas, Nuutinen, Mikko, Karademas, Evangelos, Simos, Panagiotis, Fotiadis, Dimitrios I.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10148884/
https://www.ncbi.nlm.nih.gov/pubmed/37120428
http://dx.doi.org/10.1038/s41598-023-33281-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10148884/
https://www.ncbi.nlm.nih.gov/pubmed/37120428
http://dx.doi.org/10.1038/s41598-023-33281-1

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