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

Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

5.5K
The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
5.5K
Integrated Healthcare System01:20

Integrated Healthcare System

1.5K
An integrated healthcare system (IHS) is a set of organizations that provides for or arranges to provide coordinated and continuous service to a defined population. The IHS takes responsibility for that particular population's health status and outcome, both clinically and fiscally. An integrated healthcare system is a well-organized, well-coordinated, and collaborative network. The integrated delivery system is a network that connects different healthcare providers to deliver organized,...
1.5K
Nursing Clinical Information System01:27

Nursing Clinical Information System

707
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:
707
Current Trends in Nursing II01:30

Current Trends in Nursing II

1.2K
Trends in nursing are multifactorial and associated with changes in society, within the nursing profession, and in other professions. Notably, telehealth and remote nursing contribute to successful healthcare delivery for numerous patients and help reduce stress for nurses due to nursing shortages. Nurses can reach patients, monitor their conditions, and interact with them using computers, audio, visual accessories, and telephones—for example, remote patient monitoring systems. Likewise,...
1.2K
Health Information Technology and Healthcare Information System01:30

Health Information Technology and Healthcare Information System

750
Health Information Technology (HIT)
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
750
Hospitals-II00:59

Hospitals-II

712
Hospitals provide inpatient and outpatient services. Inpatient services provide care to patients that stay in the hospital for an extended period, ranging from days to months. Examples of inpatient services include intensive care units, hospital wards, or surgeries. Outpatient services provide care to patients who come to a hospital for a diagnostic or treatment but do not stay overnight —for example, diagnostic tests, surgical procedures, or health education.
Nurses that work in...
712

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

Deep neural architecture empowered by explainable artificial intelligence for accurate and early diagnosis of gynaecological cancer using medical images.

Scientific reports·2026
Same author

Health workforce planning models for older adults in the WHO Eastern Mediterranean Region: a mixed methods systematic review.

Human resources for health·2026
Same author

Intelligent underwater mine detection using multi-backbone feature fusion with temporal attention-gated unit on side-scan sonar imaging.

Scientific reports·2026
Same author

Awareness and use of nicotine pouches among adults in the Kingdom of Saudi Arabia.

Scientific reports·2026
Same author

Boosting the Diversity of a Similarity-Aware Genetic Algorithm Using a Siamese Network for Optimized S-Box Generation.

Entropy (Basel, Switzerland)·2026
Same author

Artificial intelligence with deep convolutional neural network-based clinical decision-making on kidney Oncology using multimodal imaging.

Scientific reports·2026
Same journal

Serum vitamin D level and its association with vertigo frequency and severity in Meniere disease.

Scientific reports·2026
Same journal

PFA-Net: a physics-informed feature enhancement and attention network for interpretable bearing fault diagnosis under strong noise.

Scientific reports·2026
Same journal

Circulating inflammatory, redox, and apoptosis-related alterations in drug-naive idiopathic pulmonary fibrosis: an exploratory case-control study.

Scientific reports·2026
Same journal

A baseline-oriented dynamic aggregation approach for demand-side heterogeneous controllable resources.

Scientific reports·2026
Same journal

Temporal precision and accuracy in schizophrenia: an exploratory study.

Scientific reports·2026
Same journal

Prefrontal EEG spectral and nonlinear signatures of subthreshold depression during resting state and affectively valenced picture/video viewing: a participant-level analysis.

Scientific reports·2026
查看所有相关文章

相关实验视频

Updated: May 11, 2025

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
04:48

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

2.6K

基于物联网的远程医疗系统的安全性提高,使用深度学习与水母搜索优化算法进行深度学习.

Faris Kateb1, Mahmoud Ragab2,3, Felwa Abukhodair1,4

  • 1Information Technology Department, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, 21589, Saudi Arabia.

Scientific reports
|April 17, 2025
PubMed
概括
此摘要是机器生成的。

本研究介绍了用于物联网 (IoT) 医疗保健的人为中心系统 (ESHCS-DLJSO) 的增强安全机制. 该方法确保了安全的数据传输和早期疾病检测,准确率为99.43%.

关键词:
细菌食优化算法细菌食优化算法深度学习是一种深度学习.医疗保健 医疗保健 医疗保健 医疗保健人为中心的系统以人为中心的系统.物联网的物联网,就是物联网.水母的搜索优化器

更多相关视频

Author Spotlight: Automated Deep Brain Stimulation for Parkinson's Disease - Exploring the Possibilities and Challenges of Home Monitoring
06:32

Author Spotlight: Automated Deep Brain Stimulation for Parkinson's Disease - Exploring the Possibilities and Challenges of Home Monitoring

Published on: July 14, 2023

1.1K
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

1.2K

相关实验视频

Last Updated: May 11, 2025

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
04:48

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

2.6K
Author Spotlight: Automated Deep Brain Stimulation for Parkinson's Disease - Exploring the Possibilities and Challenges of Home Monitoring
06:32

Author Spotlight: Automated Deep Brain Stimulation for Parkinson's Disease - Exploring the Possibilities and Challenges of Home Monitoring

Published on: July 14, 2023

1.1K
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

1.2K

科学领域:

  • 生物医学工程 生物医学工程
  • 计算机科学 计算机科学
  • 人工智能的人工智能

背景情况:

  • 慢性疾病的增加和人口老龄化需要先进的远程健康监测解决方案.
  • 物联网 (IoT) 提供了远程患者护理的潜力,但在带宽和能源限制方面面临挑战.
  • 高效的资源应用需要平衡机器分析和人类洞察力,同时尽量减少数据传输.

研究的目的:

  • 为物联网医疗保健应用程序使用深度学习与水母搜索优化器 (ESHCS-DLJSO) 提出以人为中心的系统的增强安全机制.
  • 在人机界面中实现安全的医疗数据传输和早期健康问题的识别.
  • 解决远程监控环境中带宽或能源限制所带来的关键威胁.

主要方法:

  • 在数据预处理中使用了min-max规范化.
  • 采用细菌食优化算法 (BFOA) 来进行特征提取.
  • 实施了一个具有长期短期记忆的卷积神经网络 (CNN-LSTM-Attention) 用于疾病检测和分类.
  • 应用的水母搜索优化器 (JSO) 用于超参数调整.

主要成果:

  • ESHCS-DLJSO技术在物联网医疗保健安全数据集上表现出卓越的性能.
  • 达到99.43%的高精度,超过了现有的方法.
  • 成功实现了安全的数据通信和早期疾病识别.

结论:

  • ESHCS-DLJSO方法为物联网医疗保健中安全和高效的远程健康监测提供了有效的解决方案.
  • 深度学习和优化算法的集成增强了疾病检测和系统安全性.
  • 这种方法为改善患者护理和降低医疗保健成本提供了一个有希望的途径.