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Insulin-replacement therapy usually includes both long-acting insulin (basal) and short-acting insulin (to cater to postprandial needs). In a diverse group of type 1 diabetes patients, the average daily insulin dose is typically 0.5-0.7 units/kg body weight. However, obese patients and pubertal adolescents may need more due to insulin resistance.
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R chart, or range chart, is a fundamental tool in statistical process control used to monitor the variability within a process. It complements the X-bar (x̄) chart by focusing on the range of the data, rather than individual values, providing a clear picture of the process dispersion over time.
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Machines01:19

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Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. One example of a machine is the cutting plier, which is used to cut wires by applying forces to its handles. When equal and opposite forces are exerted on the handles of the cutting plier, they cause the cutting edges to come together and apply equal and opposite reaction forces on the wire, which are greater than the applied forces.
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Run charts, essentially line graphs plotted over time, serve as fundamental yet effective tools for process analysis. They chronicle data sequentially, facilitating the identification of trends, shifts, or cyclical movements. This graphical representation is instrumental in determining whether a process is stable or exhibits signs of potential instability indicative of special cause variation. In the healthcare domain, run charts depict infection rates over time, enabling hospitals to monitor...
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Determining the optimal dose size and dosing frequency in pharmacotherapy is crucial for achieving therapeutic effectiveness while minimizing adverse effects. This article explores the methodologies employed in determining these parameters, focusing on their significance and interplay to tailor dosing regimens.Dose Size: Dose size refers to the amount of a drug administered in a single dose. It is determined based on the drug's pharmacodynamics and pharmacokinetics properties and...
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相关实验视频

Updated: Jan 28, 2026

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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可解释的机器学习,用于预测低剂量甲基普雷迪尼索隆在长期COVID中的有效性.

Jisheng Zhang1, Yang Chen2, Aijun Zhang2

  • 1The Third Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.

iScience
|January 26, 2026
PubMed
概括

这项研究开发了一种用于长期COVID治疗的预测工具. 后勤回归模型和名图可以帮助个性化低剂量甲基前尼索隆治疗,以获得更好的患者结果.

关键词:
人工智能应用的人工智能应用.治疗方法 治疗方法

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科学领域:

  • 医学研究 医学研究
  • 药理学 药理学是指药理学的学科.
  • 医学中的数据科学.

背景情况:

  • 长期COVID是一种复杂的,多系统的疾病,治疗选择有限.
  • 对低剂量甲基前醇的个体反应有所不同,需要预测工具.

研究的目的:

  • 开发和验证长期COVID患者接受低剂量甲基prednisolone的预测模型.
  • 确定影响治疗疗效的关键因素.

主要方法:

  • 对330名长期COVID患者的回顾性分析,这些患者接受了低剂量甲基prednisolone治疗.
  • 使用 LASSO 回归的机器学习模型的开发.
  • 使用培训,测试和外部数据集进行验证.

主要成果:

  • 一个逻辑回归 (LR) 模型在数据集中显示出稳定的预测性能 (AUC从0.7198到0.8715不等).
  • 莎普利添加式解释 (SHAP) 确定了七个关键的预测变量.
  • 基于这些变量构建了一个名图,用于临床应用.

结论:

  • 开发的LR模型和名图是预测长期COVID治疗对低剂量甲基prednisolone反应的有效工具.
  • 这些工具支持个性化治疗决策和临床管理.
  • 进一步的研究可以完善慢性疾病管理的预测准确性.