Predicting Outcomes in Patients Undergoing Pancreatectomy Using Wearable Technology and Machine Learning: Prospective Cohort Study

• Main Authors: Cos, Heidy (Author), Li, Dingwen (Author), Williams, Gregory (Author), Chininis, Jeffrey (Author), Dai, Ruixuan (Author), Zhang, Jingwen (Author), Srivastava, Rohit (Author), Raper, Lacey (Author), Sanford, Dominic (Author), Hawkins, William (Author), Lu, Chenyang (Author), Hammill, Chet W (Author)
• Format: Book
• Published: JMIR Publications, 2021-03-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

BackgroundPancreatic cancer is the third leading cause of cancer-related deaths, and although pancreatectomy is currently the only curative treatment, it is associated with significant morbidity. ObjectiveThe objective of this study was to evaluate the utility of wearable telemonitoring technologies...