Jove
Visualize
联系我们
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

相关概念视频

Steps in Outbreak Investigation01:18

Steps in Outbreak Investigation

106
In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
106
Statistical Software for Data Analysis and Clinical Trials01:12

Statistical Software for Data Analysis and Clinical Trials

494
Statistical software is pivotal in data analysis and clinical trials by providing tools to analyze data, draw conclusions, and make predictions. These software packages range from simple data management applications to complex analytical platforms, supporting various statistical tests, models, and simulation techniques. Their significance lies in their ability to handle vast amounts of data with precision and efficiency, enabling researchers to validate hypotheses, identify trends, and make...
494

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 journal

Semantic Explanation for Malaria Diagnosis: Comparing Human and Machine Generated Annotations for <i>Plasmodium</i> Species and Life-Stage Features.

IEEE open journal of engineering in medicine and biology·2026
Same journal

An Improved Beta Burst Extraction for Chip-Based Deep Brain Stimulation With Real-Time Model Updating.

IEEE open journal of engineering in medicine and biology·2026
Same journal

Transcranial Temporal Interference Stimulation: A Brief Review of Architectures, Circuits, and Application Challenges.

IEEE open journal of engineering in medicine and biology·2026
Same journal

An Intra-Body Power Transfer System via Localized Capacitive Coupling.

IEEE open journal of engineering in medicine and biology·2026
Same journal

Shared and Individual Resting-State MEG Network Signatures of Tinnitus Revealed by Holistic Graph Learning.

IEEE open journal of engineering in medicine and biology·2026
Same journal

Stain Consistency Learning: Handling Stain Variation for Automatic Digital Pathology Segmentation.

IEEE open journal of engineering in medicine and biology·2026

相关实验视频

Updated: Jun 7, 2025

A Data-Driven Approach to Quantifying Immune States in Sepsis
07:42

A Data-Driven Approach to Quantifying Immune States in Sepsis

Published on: February 7, 2025

147

使用数学建模和深度学习进行传染病控制的综合框架.

Mohammed Salman1, Pradeep Kumar Das2, Sanjay Kumar Mohanty1

  • 1School of Advanced SciencesVellore Institute of Technology Vellore 632014 India.

IEEE open journal of engineering in medicine and biology
|November 20, 2024
PubMed
概括

这项研究引入了一种新的传染病预测系统,结合了决定性,随机和深度学习模型. 综合方法提高了预测的准确性,并分析了疫苗接种和时间延迟对疾病传播的影响.

关键词:
利亚普诺夫稳定性的稳定性移民 移民 移民长时间的短期记忆 (LSTM)随机性扰动是一种随机性扰动.时间延迟时间延迟接种疫苗 接种疫苗沃尔特拉的积分方程

更多相关视频

Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images
08:20

Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images

Published on: October 27, 2023

1.3K
DNA Virus Detection System Based on RPA-CRISPR/Cas12a-SPM and Deep Learning
04:17

DNA Virus Detection System Based on RPA-CRISPR/Cas12a-SPM and Deep Learning

Published on: May 10, 2024

678

相关实验视频

Last Updated: Jun 7, 2025

A Data-Driven Approach to Quantifying Immune States in Sepsis
07:42

A Data-Driven Approach to Quantifying Immune States in Sepsis

Published on: February 7, 2025

147
Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images
08:20

Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images

Published on: October 27, 2023

1.3K
DNA Virus Detection System Based on RPA-CRISPR/Cas12a-SPM and Deep Learning
04:17

DNA Virus Detection System Based on RPA-CRISPR/Cas12a-SPM and Deep Learning

Published on: May 10, 2024

678

科学领域:

  • 流行病学 流行病学
  • 计算生物学 计算生物学
  • 公共卫生 公共卫生

背景情况:

  • 传染病对全球健康构成重大挑战.
  • 准确的建模对于有效的疾病控制策略至关重要.
  • 数据不平衡,噪音和强度不均性使疾病检测复杂化.

研究的目的:

  • 提出一种新的传染病模式预测系统.
  • 整合决定性,随机和深度学习模型,以改善预测.
  • 调查时间延迟对感染和疫苗接种率的影响.

主要方法:

  • 在无疾病平衡状态下的全球稳定性的分析,使用Routh-Haurwitz标准和Lyapunov方法.
  • 使用非线性沃尔特拉积分方程分析特有平衡.
  • 应用深度学习模型来预测疫苗接种对感染率的影响,利用长期依赖.

主要成果:

  • 综合模型显示了更好的预测性能.
  • 该研究量化了时间延迟对感染和疫苗接种动态的影响.
  • 深度学习组件准确地预测了疫苗接种对感染率的影响.

结论:

  • 拟议的框架为传染病建模和预测提供了一个强大的方法.
  • 该模型有效地分析了考虑到疫苗接种和移民率的稳定性.
  • 深度学习的整合提高了疾病控制干预措施的预测准确性.