Published on in Vol 23, No 3 (2021): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/23595, first published .
Predicting Outcomes in Patients Undergoing Pancreatectomy Using Wearable Technology and Machine Learning: Prospective Cohort Study

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

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

Heidy Cos   1 * , MD ;   Dingwen Li   1 * , BS, MS ;   Gregory Williams   1 , BS, MA ;   Jeffrey Chininis   1, 2 , BS, MEng ;   Ruixuan Dai   1 , BSc, MSc ;   Jingwen Zhang   1 , BSc, MSc ;   Rohit Srivastava   1 , BSc ;   Lacey Raper   1 , BSc ;   Dominic Sanford   1, 2 , MD, MPH ;   William Hawkins   1, 2 , MD, FACS ;   Chenyang Lu   1 * , PhD ;   Chet W Hammill   1, 2 * , MD, MCR, FACS

1 Washington University in St Louis, St Louis, MO, United States

2 Barnes-Jewish Hospital and the Alvin J Siteman Cancer Center, St Louis, MO, United States

*these authors contributed equally

Corresponding Author:

  • Chet W Hammill, MD, MCR, FACS
  • Barnes-Jewish Hospital and the Alvin J Siteman Cancer Center
  • 660 S Euclid Ave
  • Campus Box 8109
  • St Louis, MO, 63110
  • United States
  • Phone: 1 3142731809
  • Email: hammillc@wustl.edu