Towards identifying cancer patients at risk to miss out on psycho‐oncological treatment via machine learning

OBJECTIVE: In routine oncological treatment settings, psychological distress, including mental disorders, is overlooked in 30% to 50% of patients. High workload and a constant need to optimise time and costs require a quick and easy method to identify patients likely to miss out on psychological sup...

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Detalles Bibliográficos
Autores principales: Günther, Moritz Philipp, Kirchebner, Johannes, Schulze, Jan Ben, von Känel, Roland, Euler, Sebastian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Original Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9286797/
https://www.ncbi.nlm.nih.gov/pubmed/35137480
http://dx.doi.org/10.1111/ecc.13555

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9286797/
https://www.ncbi.nlm.nih.gov/pubmed/35137480
http://dx.doi.org/10.1111/ecc.13555

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