Jove
Visualize
联系我们

相关概念视频

Mathematical Modeling: Problem Solving01:29

Mathematical Modeling: Problem Solving

278
Mathematical modeling transforms real-world scenarios into mathematical expressions, allowing for structured problem-solving and analysis. This process involves defining the situation, assigning variables to measurable quantities, selecting an appropriate model, and solving the resulting equation. Such models are invaluable in finance, providing precise methods to evaluate investments, loans, and repayment structures.A widely used example is the calculation of fixed monthly payments on a loan,...
278
Ampere-Maxwell's Law: Problem-Solving01:17

Ampere-Maxwell's Law: Problem-Solving

1.1K
A parallel-plate capacitor with capacitance C, whose plates have area A and separation distance d, is connected to a resistor R and a battery of voltage V. The current starts to flow at t = 0. What is the displacement current between the capacitor plates at time t? From the properties of the capacitor, what is the corresponding real current?
To solve the problem, we can use the equations from the analysis of an RC circuit and Maxwell's version of Ampère's law.
For the first part of the...
1.1K
Health Information Technology and Healthcare Information System01:30

Health Information Technology and Healthcare Information System

3.3K
Health Information Technology (HIT)
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
3.3K
State Space Representation01:27

State Space Representation

534
The frequency-domain technique, commonly used in analyzing and designing feedback control systems, is effective for linear, time-invariant systems. However, it falls short when dealing with nonlinear, time-varying, and multiple-input multiple-output systems. The time-domain or state-space approach addresses these limitations by utilizing state variables to construct simultaneous, first-order differential equations, known as state equations, for an nth-order system.
Consider an RLC circuit, a...
534
Ampere's Law: Problem-Solving01:31

Ampere's Law: Problem-Solving

4.3K
Ampere's law states that for any closed looped path, the line integral of the magnetic field along the path equals the vacuum permeability times the current enclosed in the loop. If the fingers of the right hand curl along the direction of the integration path, the current in the direction of the thumb is considered positive. The current opposite to the thumb direction is considered negative.
Specific steps need to be considered while calculating the symmetric magnetic field distribution...
4.3K
Effective Value of a Periodic Waveform01:07

Effective Value of a Periodic Waveform

1.2K
The concept of effective value, the root mean square (RMS) value, is crucial in understanding electrical circuits and power delivery. This idea emerges from the necessity to measure the effectiveness of a voltage or current source in supplying power to a resistive load.
The effective value of a periodic current represents the direct current (DC) that conveys the same average power to a resistor as the periodic current itself. This concept is crucial when assessing AC circuits. To determine the...
1.2K

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

The science of learning and development and medical education in times of stress.

Medical education·2026
Same author

Why do intensive care units in countries without board-certified clinical informatics specialists risk falling behind in the Artificial Intelligence era?

Critical care science·2026
Same author

Leveraging AI-enabled learning health systems to advance value-based health care: A conceptual framework.

Health care management review·2026
Same author

Can a Car Make a Blueberry Sandwich?

Journal of graduate medical education·2025
Same author

Environment Scan of Generative AI Infrastructure for Clinical and Translational Science.

ArXiv·2025
Same author

Navigating the Discontinuity Crisis in Medical Education. Reply.

The New England journal of medicine·2025
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关实验视频

Updated: Jan 17, 2026

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

1.1K

超越基于时间的计费:一个人工智能支持的复杂性模型,用于安全的消息报销.

Dong-Gil Ko1, Umberto Tachinardi2,3, Eric J Warm4

  • 1Department of Operations, Business Analytics & Information Systems, Carl H. Lindner College of Business, University of Cincinnati, Cincinnati, Ohio, USA.

Telemedicine journal and e-health : the official journal of the American Telemedicine Association
|September 23, 2025
PubMed
概括

目前的远程医疗计费没有考虑到临床复杂性. 一个使用消息内容和电子健康记录参与的新AI模型,而不仅仅是时间,提供了一种更公平的方式来偿还提供者安全的患者信息.

关键词:
临床复杂性建模的临床复杂性建模.认知负载的认知负载机器学习是机器学习.安全的消息传递.有意义的创造意义的创造远程医疗计费的计费方式

相关实验视频

Last Updated: Jan 17, 2026

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

1.1K

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
  • 医疗保健管理局的管理.

背景情况:

  • 目前的远程医疗报销依赖于评估和管理的持续时间,这并不准确地反映了医疗服务提供者对保护患者信息的复杂性.
  • 需要更好地反映异步远程医疗临床护理复杂性质的报销模式.
  • 现有的框架无法捕捉数字患者沟通所涉及的认知努力和临床判断.

研究的目的:

  • 开发和验证一个人工智能支持的远程医疗报销模型,以量化临床复杂性.
  • 根据提供者的认知努力和临床内容,为异步远程医疗服务创建更准确的计费框架.
  • 建立改革远程医疗补偿的基础,以确保提供者获得公平的补偿.

主要方法:

  • 分析来自大型卫生系统的149,499条安全患者信息 (2023-2024年).
  • 在消息子集上使用监督伪标签与严格的注释准则 (Cohen's κ = 0.816).
  • 开发了一个渐变增强分类器,使用电子健康记录参与 (域参与) 和语言复杂性 (认知判断) 的特征,通过交叉验证和离开一个提供商的测试进行验证.

主要成果:

  • 基于复杂性的模型实现了曲线下的面积 (AUC) 约为0.82,显著优于基于时间的模型 (AUC~0.57).
  • 复杂性的关键预测因素包括独特的医疗概念,临床内容的广度和情感紧迫性,而不是消息长度或持续时间.
  • 可计费线程显示了更高的医疗密度和情绪强度,验证了域参与和认知判断指标.

结论:

  • 人工智能驱动的复杂度指标比基于时间的指标更准确地代表了提供者在远程医疗中的认知努力.
  • 开发的模型为远程医疗计费改革提供了一种实用,准确和可解释的方法.
  • 这一框架支持更公平的提供者补偿,并增强远程医疗服务的可持续性.