| 摘要: |
| 产褥感染作为围产期常见的并发症，建立风险预测模型进行早期干预是改善孕产妇结局的关
键。该文阐释了当前产褥感染风险预测模型的主要类型，包括产科早期预警系统、传统机器学习、集成学习及
神经网络等，并分析了此类模型在预测范围、可解释性、复杂关系拟合能力等方面存在的局限性，提出探索更
全面、更精准预测体系的必要性。本文引入了中医学体质辨识、产后中药干预史等特色指标，构建了中西医结
合预测模型，并系统评估了相关指标纳入模型的可行性与实践价值，旨在为产褥感染的精准预测开辟新路径。 |
| 关键词: 产褥感染 风险预测 预测模型 中西医融合 综述 |
| DOI： |
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| Research advances in risk prediction models for puerperal infection and prospects for the integratedapplication of traditional Chinese medicine and Western medicine |
| AN Na,WANG Zhimei |
| (The First Affiliated Hospital of Xinjiang Medical University, Urumqi 830054, Xinjiang, China) |
| Abstract: |
| Puerperal infection is a common perinatal complication, and establishment of risk prediction models for
early intervention is the key to improving the outcomes of pregnant and parturient women. This article elaborates on the
main types of existing risk prediction models for puerperal infection, including obstetric early warning systems, traditional
machine learning, ensemble learning, and neural networks. It further analyzes the limitations of these models regarding
prediction scope, interpretability, and the ability to fit complex relationships, thereby proposing the necessity of exploring
a more comprehensive and precise prediction system. By introducing characteristic indicators such as traditional Chinese
medicine constitution identification and the history of postpartum traditional Chinese medicine interventions, this article
constructs an integrated traditional Chinese and Western medicine prediction model and systematically evaluates the feasibility
and practical value of incorporating related indicators into the model, in order to provide a new pathway for the precise
prediction of puerperal infection. |
| Key words: puerperal infection risk prediction predictive model integration of traditional Chinese and Western
medicine review |
