Related Experiment Video
Updated: Jul 30, 2025

An Experimental Paradigm for the Prediction of Post-Operative Pain PPOP
Published on: January 27, 2010
Identifying and Predicting Postoperative Infections Based on Readily Available Electronic Health Record Data
Siri Lise van der Meijden1,2, Anna van Boekel2, Laurens Schinkelshoek1
1Healthplus.ai, Amsterdam, The Netherlands.
Abstract:
Identification of postoperative infections based on retrospective patient data is currently done using manual chart review. We used a validated, automated labelling method based on registrations and treatments to develop a high-quality prediction model (AUC 0.81) for postoperative infections.
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