Prognostication in Advanced Cancer by Combining Actigraphy-Derived Rest-Activity and Sleep Parameters with Routine Clinical Data: An Exploratory Machine Learning Study

SIMPLE SUMMARY: Survival prediction is an important aspect of oncology and palliative care. Measures of night-time relative to daytime activity, derived from a motion sensor, have shown promise in patients receiving chemotherapy. Measuring rest-activity and sleep may, therefore, result in improved p...

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Detalles Bibliográficos
Autores principales: Patel, Shuchita Dhwiren, Davies, Andrew, Laing, Emma, Wu, Huihai, Mendis, Jeewaka, Dijk, Derk-Jan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9856985/
https://www.ncbi.nlm.nih.gov/pubmed/36672452
http://dx.doi.org/10.3390/cancers15020503

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9856985/
https://www.ncbi.nlm.nih.gov/pubmed/36672452
http://dx.doi.org/10.3390/cancers15020503

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