Cargando…
Improving palliative care with machine learning and routine data: a rapid review
Introduction: Improving palliative care is a priority worldwide as this population experiences poor outcomes and accounts disproportionately for costs. In clinical practice, physician judgement is the core method of identifying palliative care needs but has important limitations. Machine learning (M...
Autores principales: | Storick, Virginia, O’Herlihy, Aoife, Abdelhafeez, Sarah, Ahmed, Rakesh, May, Peter |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
F1000 Research Limited
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6973530/ https://www.ncbi.nlm.nih.gov/pubmed/32002512 http://dx.doi.org/10.12688/hrbopenres.12923.2 |
Ejemplares similares
-
Applications of Machine Learning in Palliative Care: A Systematic Review
por: Vu, Erwin, et al.
Publicado: (2023) -
Using routine data to improve palliative and end of life care
por: Davies, Joanna M, et al.
Publicado: (2016) -
Implementation of improvement strategies in palliative care: an integrative review
por: van Riet Paap, Jasper, et al.
Publicado: (2015) -
The clinical utility of routine spinal radiographs by chiropractors: a rapid review of the literature
por: Corso, Melissa, et al.
Publicado: (2020) -
Machine Learning for Brain MRI Data Harmonisation: A Systematic Review
por: Wen, Grace, et al.
Publicado: (2023)