Perioperative medicine & outcomes
Machine learning or traditional statistical methods for predictive modelling in perioperative medicine: A narrative review
Authors' conclusion
This review highlights several studies which show that ML can enhance perioperative prediction models, although this is not universal, and performance for both methods remain context dependent.
Study context
- Population
- Studies developing perioperative predictive machine learning (ML) models and comparing predictive performance with traditional statistical models
- Participants
- 37 studies
- Comparison
- Machine learning vs traditional statistical predictive models
- Outcome
- Predictive performance
Methodological detailsinitially designed as a systematic review, Narrative synthesis due to heterogeneity of populations and outcomes
- Initially designed as a systematic review
- Narrative synthesis due to heterogeneity of populations and outcomes
Pooled result
As reported in the abstract
- Several studies show ML can enhance perioperative prediction models, although not universally; performance of both methods context dependent
Original publication
Machine learning or traditional statistical methods for predictive modelling in perioperative medicine: A narrative review. J Clin Anesth. Published 19 February 2025. doi:10.
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