主管:国家卫生健康委员会
主办:国家卫生健康委医院管理研究所
中国科技核心期刊(中国科技论文统计源期刊)
中国科学引文数据库(CSCD)核心库期刊
《中文核心期刊要目总览》核心期刊

中国护理管理 ›› 2026, Vol. 26 ›› Issue (5): 756-760.doi: 10.3969/j.issn.1672-1756.2026.05.023

• 数智化护理 • 上一篇    下一篇

机器学习在骨科术后慢性疼痛预测中的应用进展

林丹妮 兰美娟   

  1. 浙江大学医学院附属第二医院护理部,310009 杭州市
  • 出版日期:2026-05-15 发布日期:2026-05-15
  • 通讯作者: 兰美娟,硕士,主任护师,护理部主任,E-mail:lanmj@zju.edu.cn
  • 作者简介:林丹妮,硕士,主管护师
  • 基金资助:
    国家卫生健康委科学研究基金浙江省医药卫生重大科技计划(WKJ-ZJ-2334)

Application progress of machine learning for predicting Chronic Post-Surgical Pain after orthopedic surgery

IN Danni, LAN Meijuan   

  1. Nursing Department, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310009, China
  • Online:2026-05-15 Published:2026-05-15
  • Contact: E-mail:lanmj@zju.edu.cn

摘要: 机器学习技术在医疗健康领域的快速发展,为骨科术后慢性疼痛的精准化、个性化预测提供了新的手段。文章概述机器学习的优势及相关类型,梳理其在骨科术后慢性疼痛预测中的研究与应用现状,探讨该技术对临床护理实践的启示,并分析当前面临的主要挑战及应对策略,以期为推动相关技术的临床应用提供参考。

关键词: 机器学习;骨科手术;术后慢性疼痛;预测;护理;综述

Abstract: The rapid development of machine learning in healthcare has provided new tools for accurate and personalized prediction of Chronic Post-Surgical Pain in orthopedics. This article outlines the advantages and related types of machine learning, reviews the state of research and applications in predicting Chronic Post-Surgical Pain in orthopedics, discusses the implications for nursing practice, and analyzes the major challenges and countermeasures. The goal is to support the translation of these technologies into clinical use.

Key words: machine learning; orthopedic surgery; Chronic Post-Surgical Pain; prediction; nursing; review

中图分类号:  R47;R197