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

• Main Authors: Tien Yun Yang (Author), Pin-Yu Kuo (Author), Yaoru Huang (Author), Hsiao-Wei Lin (Author), Shwetambara Malwade (Author), Long-Sheng Lu (Author), Lung-Wen Tsai (Author), Shabbir Syed-Abdul (Author), Chia-Wei Sun (Author), Jeng-Fong Chiou (Author)
• Format: Book
• Published: Frontiers Media S.A., 2021-12-01T00:00:00Z.
• Subjects: article
• Online Access: 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...