Chief Healthcare Executive March 20, 2021
The highest performing machine-learning model achieved an AUROC of .7875.
Machine-learning models outperform American College of Surgeons National Surgical Quality Improvement Program surgical risk calculator (ACS-NSQIP SRC) estimates in predicting textbook outcomes after pancreatectomy.
The findings suggested this method can provide physicians with real-time actionable data that can be used to modify management of patients undergoing pancreatectomy. Further interventions may also be developed to increase patient activity.
Heidy Cos, M.D., and colleagues provided patients with wearable telemonitoring devices before undergoing pancreatectomy and evaluated predictive outcomes. Patients included were scheduled to undergo pancreatic resection, had access to a smartphone, were at least 18 years old, and were able to understand and willing to sign an institutional review board-approved informed...
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