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相关概念视频

Decision Making: Traditional Method01:14

Decision Making: Traditional Method

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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.
First, a specific claim about the population parameter is decided based on the research question and is stated in a simple form. Further, an opposing statement to this claim is also stated. These statements can act as null and alternative hypotheses, out of which a null hypothesis would be a...
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Decision Making01:20

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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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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Persuasion Strategies01:52

Persuasion Strategies

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Researchers have tested many persuasion strategies, including the foot-in-the door and the door-in-the-face techniques, in a variety of contexts. Ultimately, the principles are effective in selling products and changing people’s attitude, ideas, and behaviors (Cialdini & Goldstein, 2004).
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Ethical Dilemmas II01:30

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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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Woodward–Hoffmann Selection Rules and Microscopic Reversibility

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Electrocyclic reactions, cycloadditions, and sigmatropic rearrangements are concerted pericyclic reactions that proceed via a cyclic transition state. These reactions are stereospecific and regioselective. The stereochemistry of the products depends on the symmetry characteristics of the interacting orbitals and the reaction conditions. Accordingly, pericyclic reactions are classified as either symmetry-allowed or symmetry-forbidden. Woodward and Hoffmann presented the selection criteria for...
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相关实验视频

Updated: Sep 14, 2025

An Automated T-maze Based Apparatus and Protocol for Analyzing Delay- and Effort-based Decision Making in Free Moving Rodents
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深度决定性基于政策梯度的自动谈判框架,用于共享决策.

Xin Chen1, Ping Lu2, Yong Liu3

  • 1College of Artificial Intelligence, Xiamen Institute of Technology, Xiamen, 361021, China. chenxin@xit.edu.cn.

Scientific reports
|July 20, 2025
PubMed
概括
此摘要是机器生成的。

本研究介绍了AutoSDM-DDPG,这是一个共享决策 (SDM) 的自动化框架. 它通过动态优化策略以获得更好的患者和医生结果来增强复杂的医疗谈判.

关键词:
代理代理人 代理人 代理人深度强化学习的学习.医生与病人之间的谈判一个模糊的约束.共享决策 共同的决策

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科学领域:

  • 医疗信息学 医疗信息学
  • 人工智能在医学中的应用
  • 决策科学 决策科学 决策科学

背景情况:

  • 共享决策 (SDM) 对于以患者为中心的护理至关重要,改善结果和满意度.
  • 传统的SDM面临着复杂的医疗病例,不断变化的患者偏好和不确定性下的多问题谈判等挑战.
  • 一个关键的困难是模拟患者和临床医生的模糊偏好,以确保有效和公平的谈判.

研究的目的:

  • 引入AutoSDM-DDPG,一个使用深度决定性政策梯度 (DDPG) 算法的自动化SDM框架.
  • 为了动态优化谈判策略,复杂的,多问题治疗规划.
  • 在决策过程中有效地模拟和解决不确定的患者偏好.

主要方法:

  • 开发了一个自动化的SDM框架,AutoSDM-DDPG,采用一个Actor-Critic网络架构.
  • 综合模糊的会员资格功能来表示和管理患者偏好的不确定性.
  • 利用DDPG算法来优化针对多维需求的动态谈判策略.

主要成果:

  • 与现有模型相比,AutoSDM-DDPG在关键指标方面表现优越.
  • 在社会福利方面取得了显著的改善,减少了满意度差距,提高了决策质量.
  • 实现了更快,更公平的谈判,在复杂的场景中有效地平衡临床医生和患者的需求.

结论:

  • AutoSDM-DDPG为自动共享决策提供了一个先进的,可适应的解决方案.
  • 该框架擅长处理多问题谈判和复杂,模糊的偏好.
  • 它促进了高效和公平的医疗决策,改善了过程和结果.