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

• Hoofdauteurs: Tien Yun Yang (Auteur), Pin-Yu Kuo (Auteur), Yaoru Huang (Auteur), Hsiao-Wei Lin (Auteur), Shwetambara Malwade (Auteur), Long-Sheng Lu (Auteur), Lung-Wen Tsai (Auteur), Shabbir Syed-Abdul (Auteur), Chia-Wei Sun (Auteur), Jeng-Fong Chiou (Auteur)
• Formaat: Boek
• Gepubliceerd in: Frontiers Media S.A., 2021-12-01T00:00:00Z.
• Onderwerpen: article
• Online toegang: 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...