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机器学习模型的开发,以预测在分娩止痛期间与外周管相关的产妇发烧:一个多算法比较研究与前性实施框架

Guoxiu Zhang1, Yihui Yang2, Rugang An2

  • 1Department of Critical Care Medicine, Zunyi First People's Hospital (Third Affiliated Hospital of Zunyi Medical College), Zunyi, 563000, People's Republic of China.

International journal of women's health
|December 22, 2025
PubMed
概括

一个新的机器学习模型准确地预测了患上外周膜相关产妇发烧 (ERMF) 的风险,这是一个常见的分娩并发症. 该工具有助于临床医生识别高风险患者,以更好地管理产妇热.

关键词:
外围注射止痛产生的劳动疼痛.发烧 发烧 发烧在子宫内产生的产物.劳动力镇痛 劳动力镇痛机器学习是机器学习.预测模型是一个预测模型.

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Local Anesthetics: Clinical Application as Epidural Anesthesia01:29

Local Anesthetics: Clinical Application as Epidural Anesthesia

Epidural anesthetics are administered in the fat-filled epidural space, the outermost part of the spinal canal. This technique is commonly employed for pain management and anesthesia during lower abdomen and pelvis surgeries or labor and delivery.
Since epidural anesthetics can be infused through an epidural catheter, all types of drugs, including short-acting ones, can be administered. Chloroprocaine and lidocaine are examples of short and long-duration anesthetics, respectively. Bupivacaine...
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