Trajectories of mortality risk among patients with cancer and associated end-of-life utilization

Machine learning algorithms may address prognostic inaccuracy among clinicians by identifying patients at risk of short-term mortality and facilitating earlier discussions about hospice enrollment, discontinuation of therapy, or other management decisions. In the present study, we used prospective p...

Descripción completa

Detalles Bibliográficos
Autores principales: Parikh, Ravi B., Liu, Manqing, Li, Eric, Li, Runze, Chen, Jinbo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Brief Communication
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8249647/
https://www.ncbi.nlm.nih.gov/pubmed/34211108
http://dx.doi.org/10.1038/s41746-021-00477-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8249647/
https://www.ncbi.nlm.nih.gov/pubmed/34211108
http://dx.doi.org/10.1038/s41746-021-00477-6

Ejemplares similares