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Updated: Jan 10, 2026

Use of a Central Venous Line for Fluids, Drugs and Nutrient Administration in a Mouse Model of Critical Illness
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与外围插入的中央静脉导管相关的并发症的危险因素:基于深度学习的机器学习和生存分析

Seon Min Lee1, Jeongyun Park2

  • 1Medical Devices R&D Center, Gachon University Gil Medical Center, Incheon, Republic of Korea; Department of Biohealth & Medical Engineering, Gachon University, Seongnam-si, Republic of Korea.

Clinical nutrition (Edinburgh, Scotland)
|November 28, 2025
PubMed
概括

人工智能模型可以预测用于全腹腔营养 (TPN) 的外围插入的中央导管 (PICC) 的并发症. 关键的风险因素包括插入部位,导管大小,性别和癌症诊断.

关键词:
人工智能的人工智能是人工智能.与导管相关的感染.机器学习是机器学习.在 PICC 线路上设置线路.风险因素 风险因素对生存分析的分析.

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