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

Asthma-IV: Diagnostic and Management01:30

Asthma-IV: Diagnostic and Management

2.6K
The diagnosis and management of asthma are comprehensive, encompassing clinical assessments, lung function tests, and pharmacological interventions. Here's an overview:
Clinical Assessment for Asthma:
This is the first step in diagnosing and managing asthma. It includes:
2.6K
Asthma-III: Symptoms and Complications01:24

Asthma-III: Symptoms and Complications

2.7K
Asthma, a common chronic respiratory condition, is classified considering the frequency and severity of symptoms alongside lung function impairment. Understanding this classification is essential for appropriate treatment and management. Here's a detailed look at the classification of asthma and its clinical features and complications:
Classification of Asthma
2.7K
Asthma-II: Pathophysiology and Classification01:26

Asthma-II: Pathophysiology and Classification

2.9K
Asthma is a prevalent chronic respiratory condition marked by inflammation and hyperresponsiveness of the airways. Its pathophysiology involves complex interactions among inflammatory pathways, immune responses, and neural mechanisms.
Additionally, environmental and genetic factors play crucial roles in determining an individual's susceptibility to asthma and the severity of their condition.
Critical processes in asthma pathophysiology include:
2.9K
Measurement of Blood Pressure01:17

Measurement of Blood Pressure

1.5K
Assessing blood pressure is a standard procedure executed in virtually all medical environments. The method utilized today was established over a hundred years ago by an innovative Russian doctor, Dr. Nikolai Korotkoff. The soft ticking noise, known as Korotkoff sounds, heard while taking blood pressure readings results from turbulent blood flow within the vessels. The apparatus required for this procedure includes a sphygmomanometer, a blood pressure cuff attached to a gauge, and a...
1.5K
Asthma: Pathogenesis and Management01:20

Asthma: Pathogenesis and Management

613
Asthma is a chronic pulmonary condition involving inflammation of the airways, hyper-reactivity, and reversible obstruction of the airways. This condition can significantly impact a person's quality of life, making breathing difficult and leading to distressing symptoms.
Asthma is classified as allergic and non-allergic. Allergens such as dust mites, pollen, and pet dander trigger allergic asthma, while factors like cold air, intense emotions, or exercise can induce non-allergic asthma.
613
Asthma-IV: Nursing Management01:30

Asthma-IV: Nursing Management

3.3K
The nursing management of asthma is a comprehensive approach that relies heavily on the expertise and dedication of healthcare professionals. It involves thorough assessment, accurate diagnosis, strategic planning, effective implementation, and diligent evaluation. By meticulously following this step-by-step process, healthcare professionals play a crucial role in providing the best possible care and treatment for patients with asthma, enhancing their overall health and well-being.
First, in...
3.3K

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 authorSame journal

Machine learning-based MPO and Lp-PLA2 profiling reveals asthma-predominant inflammatory signature in asthma-COPD overlap.

The World Allergy Organization journal·2026
Same author

Evolution of biphoton states in ghost imaging with multiple objects.

Optics express·2026
Same author

Identification of senescence-related genes in Parkinson's disease reveals candidate therapeutic targets and pathological processes.

Animal models and experimental medicine·2026
Same author

Lysine lactylation-mediated post-translational modification: Molecular mechanisms and therapeutic target exploration in tumour drug resistance.

Clinical and translational medicine·2026
Same author

Non-targeted authentication of camellia oil using gas chromatography-ion mobility spectrometry and one-class chemometrics.

Analytical and bioanalytical chemistry·2026
Same author

Differences in food sensitization patterns between infants/toddlers and children: a cross-sectional study of patients aged 0-14 years in urban China.

Frontiers in allergy·2026

相关实验视频

Updated: Sep 17, 2025

Asthma Detection Research Based on Voice Signal Processing and Machine Learning
04:04

Asthma Detection Research Based on Voice Signal Processing and Machine Learning

Published on: July 22, 2025

426

基于机器学习的模型用于使用常规血液参数检测急性喘恶化.

Youpeng Chen1,2,3, Junquan Sun4, Yabang Chen4

  • 1Department of Clinical Laboratory, State Key Laboratory of Respiratory Disease, National Center for Respiratory Medicine, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.

The World Allergy Organization journal
|June 30, 2025
PubMed
概括

机器学习模型有效地使用常规血液测试来诊断急性喘恶化 (AAE). 这种方法为AAE检测提供了一个实用的工具,特别是在先进诊断有限的地方.

关键词:
喘 喘 是一种血液化学分析 血液化学分析诊断 诊断 诊断 诊断 诊断机器学习是机器学习.

更多相关视频

Murine Model of Allergen Induced Asthma
08:05

Murine Model of Allergen Induced Asthma

Published on: May 14, 2012

40.5K
A Reversible, Non-invasive Method for Airway Resistance Measurements and Bronchoalveolar Lavage Fluid Sampling in Mice
09:58

A Reversible, Non-invasive Method for Airway Resistance Measurements and Bronchoalveolar Lavage Fluid Sampling in Mice

Published on: April 13, 2010

22.7K

相关实验视频

Last Updated: Sep 17, 2025

Asthma Detection Research Based on Voice Signal Processing and Machine Learning
04:04

Asthma Detection Research Based on Voice Signal Processing and Machine Learning

Published on: July 22, 2025

426
Murine Model of Allergen Induced Asthma
08:05

Murine Model of Allergen Induced Asthma

Published on: May 14, 2012

40.5K
A Reversible, Non-invasive Method for Airway Resistance Measurements and Bronchoalveolar Lavage Fluid Sampling in Mice
09:58

A Reversible, Non-invasive Method for Airway Resistance Measurements and Bronchoalveolar Lavage Fluid Sampling in Mice

Published on: April 13, 2010

22.7K

科学领域:

  • 医疗信息学 医疗信息学
  • 医疗保健中的机器学习
  • 呼吸系统医学 呼吸系统医学

背景情况:

  • 急性喘恶化 (Acute Asthma Exacerbation,简称AAE) 在与喘相关的疾病和死亡中起着重要作用.
  • 由于缺乏肺功能测试,在资源有限的环境中存在诊断挑战.
  • 为AAE开发可访问的诊断工具至关重要.

研究的目的:

  • 开发和验证AAE的机器学习诊断模型.
  • 为了利用常规的血液参数来检测AAE.
  • 加强喘管理,特别是在服务不足的地区.

主要方法:

  • 通过使用23013名喘患者的数据开发了一种机器学习模型.
  • 后勤回归确定了模型构建的重要变量.
  • 通过ROC分析,校准和DCA评估了12个机器学习算法.

主要成果:

  • 两个模型,glmBoost + RF (14个变量,AUC=0.981) 和Lasso + RF (25个变量,AUC=0.985),显示出高的诊断性能.
  • 两种模型均表现出优异的校准和跨子组一致的结果.
  • 决策曲线分析表明临床效用优于传统方法.

结论:

  • 使用常规血液参数的机器学习模型是AAE检测的有效工具.
  • 该模型具有显著的临床应用潜力,特别是在资源有限的环境中.
  • 该研究提供了一种改善AAE诊断和管理的实用方法.