Limitations in Evaluating Machine Learning Models for Imbalanced Binary Outcome Classification in Spine Surgery: A Systematic Review

Limitations in Evaluating Machine Learning Models for Imbalanced Binary Outcome Classification in Spine Surgery: A Systematic Review

Clinical prediction models for spine surgery applications are on the rise, with an increasing reliance on machine learning (ML) and deep learning (DL). Many of the predicted outcomes are uncommon; therefore, to ensure the models’ effectiveness in clinical practice it is crucial to properly evaluate...

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Bibliographic Details
Main Authors: Marc Ghanem, Abdul Karim Ghaith, Victor Gabriel El-Hajj, Archis Bhandarkar, Andrea de Giorgio, Adrian Elmi-Terander, Mohamad Bydon
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Brain Sciences
Subjects:
machine learning
artificial intelligence
deep learning
predictive modeling
spine surgery
Online Access:https://www.mdpi.com/2076-3425/13/12/1723

Internet

https://www.mdpi.com/2076-3425/13/12/1723

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