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相关概念视频

Decision Making: P-value Method01:09

Decision Making: P-value Method

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The process of hypothesis testing based on the P-value method includes calculating the P- value using the sample data and interpreting it.
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim  is also stated. These statements can act as null and alternative hypotheses:  a null hypothesis would be a neutral statement while the alternative hypothesis can...
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Resolving an ethical dilemma in healthcare involves a systematic approach that considers every aspect of the issue, respecting both the patient's needs and values and the healthcare professional's ethical obligations. Here are potential steps to resolve an ethical dilemma:
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Critical Thinking II

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Critical thinking is a cognitive process with several attributes. The attributes of critical thinking include the following:
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The process of hypothesis testing based on the traditional method includes calculating the critical value, testing the value of the test statistic using the sample data, and interpreting these values.
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Nursing Clinical Information System (NCIS)
A Nursing Clinical Information System (NCIS) is a specialized type of healthcare information system tailored to meet the unique needs of nursing practice. It incorporates the principles of nursing informatics to streamline information management and improve the quality of care delivery.
Critical attributes of NCIS include:
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Decision Making

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Decision-making is a fundamental cognitive process that involves evaluating alternatives and selecting among them. This process can range from simple choices, such as deciding what to wear, to complex decisions, like choosing a major in college or a career path. The complexity of the decision often dictates the approach we use, which can be broadly categorized into two types: automatic and controlled decision-making.
Automatic decision-making is fast, intuitive, and relies on gut feelings...
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相关实验视频

Updated: Jul 23, 2025

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
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在语义上启用临床决策支持建议.

Oshani Seneviratne1, Amar K Das2, Shruthi Chari3

  • 1Rensselaer Polytechnic Institute, 110 8th St, 12180, Troy, NY, USA. senevo@rpi.edu.

Journal of biomedical semantics
|July 18, 2023
PubMed
概括
此摘要是机器生成的。

这项研究增强了使用语义技术来建模疾病和指南来源的临床决策支持系统. 这提高了建议的相关性,透明度和适用于医疗保健提供者的可用性.

关键词:
数据整合数据集成疾病的特征 疾病的特征准则建模 准则建模知识表示 知识表示

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科学领域:

  • 医疗信息学 医疗信息学
  • 生物医学本体学是什么意思
  • 知识表示 知识表示

背景情况:

  • 临床决策支持系统 (CDSS) 使用来自指南的基于证据的建议.
  • 目前的CDSS往往缺乏透明度,相关性和适用于临床医生.
  • 之前的技术方法并没有关注指导方针变更或证据来源的正式化.

研究的目的:

  • 通过语义技术来增强CDSS的能力.
  • 为了模拟疾病,指导来源,并研究队列.
  • 提高适应指导方针变化的能力,并支持个性化的解释.

主要方法:

  • 开发了本体学和语义网络工具,用于准则建模,来源和研究队列建模.
  • 利用一个定制的知识图框架,通过标准的生物医学本体统一.
  • 集成的语义技术将指南细节与科学文献联系起来.

主要成果:

  • 创建了疾病的语义模型,指南来源和研究队列.
  • 使CDSS能够适应指南更新,并识别相关研究.
  • 提供了个性化解释和提高透明度的机制.

结论:

  • 通过本体学和软件增强现有的基于证据的知识.
  • 方便临床医生获取指南更新,来源和适用的研究.
  • 利用现有的生物医学本体学和知识表示来获得可解释的结果.