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

• Автори: Tien Yun Yang (Автор), Pin-Yu Kuo (Автор), Yaoru Huang (Автор), Hsiao-Wei Lin (Автор), Shwetambara Malwade (Автор), Long-Sheng Lu (Автор), Lung-Wen Tsai (Автор), Shabbir Syed-Abdul (Автор), Chia-Wei Sun (Автор), Jeng-Fong Chiou (Автор)
• Формат: Книга
• Опубліковано: Frontiers Media S.A., 2021-12-01T00:00:00Z.
• Предмети: article
• Онлайн доступ: Connect to this object online.

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...