Deep-Learning Approach to Predict Survival Outcomes Using Wearable Actigraphy Device Among End-Stage Cancer Patients

Survival prediction is highly valued in end-of-life care clinical practice, and patient performance status evaluation stands as a predominant component in survival prognostication. While current performance status evaluation tools are limited to their subjective nature, the advent of wearable techno...

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Detalles Bibliográficos
Autores principales: Yang, Tien Yun, Kuo, Pin-Yu, Huang, Yaoru, Lin, Hsiao-Wei, Malwade, Shwetambara, Lu, Long-Sheng, Tsai, Lung-Wen, Syed-Abdul, Shabbir, Sun, Chia-Wei, Chiou, Jeng-Fong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Public Health
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8695752/
https://www.ncbi.nlm.nih.gov/pubmed/34957004
http://dx.doi.org/10.3389/fpubh.2021.730150

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8695752/
https://www.ncbi.nlm.nih.gov/pubmed/34957004
http://dx.doi.org/10.3389/fpubh.2021.730150

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