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相关概念视频

Regression Analysis01:11

Regression Analysis

Regression analysis is a statistical tool that describes a mathematical relationship between a dependent variable and one or more independent variables.
In regression analysis, a regression equation is determined based on the line of best fit– a line that best fits the data points plotted in a graph. This line is also called the regression line. The algebraic equation for the regression line is called the regression equation. It is represented as:
Multiple Regression01:25

Multiple Regression

Multiple regression assesses a linear relationship between one response or dependent variable and two or more independent variables. It has many practical applications.
Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...

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相关实验视频

Updated: Jul 12, 2026

Determining the Functional Status of the Corticospinal Tract Within One Week of Stroke
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使用路径和神经网络分析预测中风后的独立连衣.

Shotaro Sasaki1,2, Makoto Suzuki2,3, Yoshitsugu Omori2,4

  • 1Department of Rehabilitation, St. Marianna University School of Medicine, Yokohama City Seibu Hospital, Kanagawa, Japan.

Medicine
|February 24, 2026
PubMed
概括

在日常生活中的穿衣性能高度依赖于穿衣的速度. 运动和认知功能通过影响这种速度,对康复结果至关重要,间接影响着穿衣能力.

关键词:
日常生活中的日常生活活动.连衣是为了连衣.预测 预测 预测 预测一次性中风中风中风中风中风

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科学领域:

  • 康复医学 康复医学 康复医学
  • 神经科学是一个神经科学.
  • 医疗保健中的人工智能

背景情况:

  • 穿衣技巧是一个复杂的活动,受运动和认知功能的影响.
  • 有效的康复需要了解影响日常穿衣表现的因素等级.
  • 预测服装性能对于定制中风患者康复策略至关重要.

研究的目的:

  • 澄清运动功能,认知功能,穿衣技巧,穿衣速度和日常穿衣表现之间的相互关系.
  • 开发和验证一个卷积神经网络 (CNN) 模型来预测穿衣性能.

主要方法:

  • 追溯性研究涉及243名中风患者.
  • 路径分析在第一轮检查关键变量之间的相互关系.
  • 在第二轮 (n=153) 预测CNN模型的开发和评估.

主要成果:

  • 的严重程度,单方面空间疏忽,注意力障碍和穿衣技巧与穿衣速度和性能有显著的因果关系.
  • 穿衣速度是日常穿衣表现最重要的直接预测因素.
  • 在CNN模型实现了高预测准确度 (AUC = 0.939 ± 0.015) 的穿衣速度和性能.

结论:

  • 每天的穿衣性能是由穿衣速度强烈预测的.
  • 运动和认知障碍通过它们对着装速度的影响间接地影响着装性能.
  • 这些发现支持了在中风康复计划中解决穿衣速度的重要性.