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A Multimodal Machine Learning Model for Predicting Prolonged Hospital Stay After Total Hip and Knee Arthroplasty:Development, Internal Validation, and External Validation in MIMIC-IV

2026-09-01

Abstract excerpt

<title>Abstract</title> <p>Background Total hip arthroplasty (THA) and total knee arthroplasty (TKA) are highly effective procedures, but prolonged postoperative hospital stay remains a persistent clinical and economic concern. Existing prediction models predominantly rely on structured preoperative data, while the diagnostic narratives embedded in medical records are largely underused. We therefore developed an...

Identifiers and source

Literature Corpus work
13a9cb32-499b-5955-b49a-7fe160793c8c
DOI
10.21203/rs.3.rs-10673621/v1
Open publication

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A Multimodal Machine Learning Model for Predicting Prolonged Hospital Stay After Total Hip and Knee Arthroplasty:Development, Internal Validation, and External Validation in MIMIC-IVDOI 10.21203/rs.3.rs-10673621/v1
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