A machine learning approach to predict postoperative sleep disturbance after total knee arthroplasty: a comparative study of multiple algorithms.

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Title: A machine learning approach to predict postoperative sleep disturbance after total knee arthroplasty: a comparative study of multiple algorithms.
Authors: Zhang YX; College of Orthopedics, Tianjin Medical University, Tianjin, China.; Department of Joints, Tianjin Hospital of Tianjin University (Tianjin Hospital), Tianjin, China., He S; Department of Joints, Beichen Hospital, Tianjin, China., Yang T; College of Orthopedics, Tianjin Medical University, Tianjin, China.; Department of Joints, Tianjin Hospital of Tianjin University (Tianjin Hospital), Tianjin, China., Li HL; College of Orthopedics, Tianjin Medical University, Tianjin, China.; Department of Joints, Tianjin Hospital of Tianjin University (Tianjin Hospital), Tianjin, China., Wu CL; College of Orthopedics, Tianjin Medical University, Tianjin, China.; The United Logistics Support Force of 983 Hospital, Tianjin, China., Wang L; Department of Joints, Tianjin Hospital of Tianjin University (Tianjin Hospital), Tianjin, China., Wang XQ; Department of Joints, Tianjin Hospital of Tianjin University (Tianjin Hospital), Tianjin, China., Liu J; College of Orthopedics, Tianjin Medical University, Tianjin, China.; Department of Joints, Tianjin Hospital of Tianjin University (Tianjin Hospital), Tianjin, China.
Source: Frontiers in medicine [Front Med (Lausanne)] 2025 Nov 05; Vol. 12, pp. 1699842. Date of Electronic Publication: 2025 Nov 05 (Print Publication: 2025).
Publication Type: Journal Article
Journal Info: Publisher: Frontiers Media S.A Country of Publication: Switzerland NLM ID: 101648047 Publication Model: eCollection Cited Medium: Print ISSN: 2296-858X (Print) Linking ISSN: 2296858X NLM ISO Abbreviation: Front Med (Lausanne) Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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ISSN:2296-858X
DOI:10.3389/fmed.2025.1699842