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Machine learning (ML) models are promising tools for predicting adverse postoperative outcomes in cardiac surgery, yet have not translated to routine clinical use. We conducted a systematic review and meta‐analysis… Click to show full abstract
Machine learning (ML) models are promising tools for predicting adverse postoperative outcomes in cardiac surgery, yet have not translated to routine clinical use. We conducted a systematic review and meta‐analysis to assess the predictive performance of ML approaches.
Keywords:
review meta;
surgery;
machine learning;
systematic review;
cardiac surgery;
outcomes cardiac
Journal Title: Journal of Cardiac Surgery
Year Published: 2022
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Journal Title: Journal of Cardiac Surgery
Year Published: 2022
Link to full text (if available)
Share on Social Media: Sign Up to like & get
recommendations!