Biosensors and Machine-Learning Algorithms to Detect Complications in Post-Pancreatectomy Patients

To correlate surgical outcomes with patient preoperative activity levels, as measured by a wearable activity monitor.
To improve patient progressive mobility during the inpatient postoperative period, using activity monitors and gamification methods.
To evaluate machine learning models incorporating activity monitor data to predict early onset of surgical complications.