Orthopedic perioperative nursing under navigation nurse management: Machine learning-based risk prediction models for postoperative recovery quality and explainable artificial intelligence analysis.

ABSTRACT: This study aimed to evaluate the effectiveness of navigation nurse management (NNM) in orthopedic perioperative care and develop machine learning (ML) models to predict postoperative recovery quality. We sought to identify key factors influencing recovery outcomes in patients undergoing hip surgery and assess whether NNM intervention improves patient outcomes compared to standard care. This retrospective study included 216 patients who underwent orthopedic surgery for femoral neck fractures, femoral head necrosis, or hip joint disorders at Zhangjiagang Hospital between November 2023 and February 2025. The NNM model, comprising 6 core elements, guided nursing care. Data were analyzed using SPSS 26.0 and R 4.4.2. The dataset was randomly split into training (70%) and validation (30%) cohorts

SUBMITTER: Qian Q 

PROVIDER: S-EPMC12622712 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature