Evaluating the Potential of Machine Learning and Wearable Devices in End-of-Life Care in Predicting 7-Day Death Events Among Patients With Terminal Cancer: Cohort Study

BACKGROUND: An accurate prediction of mortality in end-of-life care is crucial but presents challenges. Existing prognostic tools demonstrate moderate performance in predicting survival across various time frames, primarily in in-hospital settings and single-time evaluations. However, these tools ma...

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Detalles Bibliográficos
Autores principales: Liu, Jen-Hsuan, Shih, Chih-Yuan, Huang, Hsien-Liang, Peng, Jen-Kuei, Cheng, Shao-Yi, Tsai, Jaw-Shiun, Lai, Feipei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2023
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10474512/
https://www.ncbi.nlm.nih.gov/pubmed/37594793
http://dx.doi.org/10.2196/47366

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10474512/
https://www.ncbi.nlm.nih.gov/pubmed/37594793
http://dx.doi.org/10.2196/47366

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