Back

Systematic evaluation of machine learning models for postoperative surgical site infection prediction

Systematic evaluation of machine learning models for postoperative surgical site infection prediction

Authors: A.M. van Boekel S.L. van der Meijden, M.S. Arbous, R.G.H.H. Nelissen, K.E. Veldkamp et al.
Journal: PLoS One
Year: 2024

Source

PLoS One

Healthplus.ai, has the mission to enable proactive surgical care through personalised complication predictions and management for over 50 million patients per year by 2029.

Request an AI Summary

Language

Dutch

© 2017 - 2026 by Healthplus.ai. All rights reserved, Healthplus.ai-Operations B.V.

Healthplus.ai, has the mission to enable proactive surgical care through personalised complication predictions and management for over 50 million patients per year by 2029.

Request an AI Summary

Language

Dutch

© 2017 - 2026 by Healthplus.ai. All rights reserved, Healthplus.ai-Operations B.V.

Healthplus.ai, has the mission to enable proactive surgical care through personalised complication predictions and management for over 50 million patients per year by 2029.

Request an AI Summary

Language

Dutch

© 2017 - 2026 by Healthplus.ai. All rights reserved, Healthplus.ai-Operations B.V.