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Updated: Jun 4, 2025

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一个简单的Clostridioides difficile感染预测模型:一个医院的行政数据库研究

Kenta Watanabe1, Tsuyotoshi Tsuji2, Hisanori Matsuzawa2

  • 1Department of Gastroenterology, Akita University Graduate School of Medicine, Akita, Japan.

Journal of gastroenterology and hepatology
|December 18, 2024
PubMed
概括

一个新的,简单的预测得分准确地识别出患有Clostridioides difficile感染 (CDI) 风险的患者,从而使早期干预成为可能. 这一分数有助于修改治疗计划,以防止入院CDI.

关键词:
困难菌感染 困难菌感染伴随疾病的情况.功能状态 功能状态与具有竞争力的酸阻断剂.风险评分风险评分是什么意思

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In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
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