An explainable long short-term memory network for surgical site infection identification

Currently, surgical site infection surveillance relies on labor-intensive manual chart review. Recently suggested solutions involve machine learning to identify surgical site infections directly from the medical record. Deep learning is a form of machine learning that has historically performed better than traditional methods while being harder to interpret. We propose a deep learning model, a long short-term memory network, for the identification of surgical site infection from the medical record with an attention layer for explainability.

Source: Surgery - April 13, 2024 Category: Surgery Authors: Amber C. Kiser, Jianlin Shi, Brian T. Bucher Source Type: research