Comparing prediction accuracy for 30-day readmission following primary total knee arthroplasty: the ACS-NSQIP risk calculator versus a novel artificial neural network model.

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Title: Comparing prediction accuracy for 30-day readmission following primary total knee arthroplasty: the ACS-NSQIP risk calculator versus a novel artificial neural network model.
Authors: Buddhiraju, Anirudh1 (AUTHOR), Shimizu, Michelle Riyo1 (AUTHOR), Chen, Tony Lin-Wei1 (AUTHOR), Seo, Henry Hojoon1 (AUTHOR), Bacevich, Blake M.1 (AUTHOR), Xiao, Pengwei1 (AUTHOR), Kwon, Young-Min1 (AUTHOR) ymkwon@mgh.harvard.edu
Source: Knee Surgery & Related Research. 1/13/2025, Vol. 37 Issue 1, p1-9. 9p.
Database: Academic Search Ultimate
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  Data: Comparing prediction accuracy for 30-day readmission following primary total knee arthroplasty: the ACS-NSQIP risk calculator versus a novel artificial neural network model.
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  Data: <searchLink fieldCode="JN" term="%22Knee+Surgery+%26+Related+Research%22">Knee Surgery & Related Research</searchLink>. 1/13/2025, Vol. 37 Issue 1, p1-9. 9p.
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        Value: 10.1186/s43019-024-00256-z
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        Text: English
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      – TitleFull: Comparing prediction accuracy for 30-day readmission following primary total knee arthroplasty: the ACS-NSQIP risk calculator versus a novel artificial neural network model.
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            NameFull: Buddhiraju, Anirudh
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            NameFull: Shimizu, Michelle Riyo
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            NameFull: Chen, Tony Lin-Wei
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            NameFull: Bacevich, Blake M.
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              Text: 1/13/2025
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              Y: 2025
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            – TitleFull: Knee Surgery & Related Research
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