Cargando…
Symptom clusters among cancer survivors: what can machine learning techniques tell us?
PURPOSE: Knowledge regarding symptom clusters may inform targeted interventions. The current study investigated symptom clusters among cancer survivors, using machine learning techniques on a large data set. METHODS: Data consisted of self-reports of cancer survivors who used a fully automated onlin...
Autores principales: | Neijenhuijs, Koen I., Peeters, Carel F. W., van Weert, Henk, Cuijpers, Pim, Leeuw, Irma Verdonck-de |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8369803/ https://www.ncbi.nlm.nih.gov/pubmed/34399698 http://dx.doi.org/10.1186/s12874-021-01352-4 |
Ejemplares similares
-
Translation of the eHealth Impact Questionnaire for a Population of Dutch Electronic Health Users: Validation Study
por: Neijenhuijs, Koen Ilja, et al.
Publicado: (2019) -
A systematic review of the measurement properties of the European Organisation for Research and Treatment of Cancer In-patient Satisfaction with Care Questionnaire, the EORTC IN-PATSAT32
por: Neijenhuijs, Koen I., et al.
Publicado: (2018) -
What single neurons can tell us
por: Miller, Elaine N, et al.
Publicado: (2019) -
Moderators of the effects of meaning-centered group psychotherapy in cancer survivors on personal meaning, psychological well-being, and distress
por: Holtmaat, Karen, et al.
Publicado: (2017) -
CUSUM learning curves: what they can and can’t tell us
por: Lin, Peng-Lin, et al.
Publicado: (2023)