Machine learning using preoperative patient factors can predict duration of surgery and length of stay for total knee arthroplasty
•Surgical duration and length of stay for knee arthroplasty are amenable to prediction.•Conventional and deep machine learning yield similar prediction accuracies.•Preoperative factors provide an upper limit to accuracy of these predictions.•Future work should aim to use these predictions in schedul...
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Veröffentlicht in: | International journal of medical informatics (Shannon, Ireland) Ireland), 2022-02, Vol.158, p.104670-104670, Article 104670 |
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