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-I: Introduction01:29

Asthma-I: Introduction

2.6K
Asthma is a chronic respiratory ailment that requires careful management due to its varying symptoms and influencing factors. It is characterized by airway inflammation, bronchial hyperresponsiveness, and reversible airflow obstruction, leading to symptoms like wheezing, shortness of breath, chest tightness, and coughing. The symptom frequency and intensity may vary considerably over time. It is also linked to immune system responses to allergens and irritants, highlighting the complex...
2.6K
Statistical Methods for Analyzing Epidemiological Data01:25

Statistical Methods for Analyzing Epidemiological Data

240
Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
240
Asthma-IV: Diagnostic and Management01:30

Asthma-IV: Diagnostic and Management

2.5K
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:
2.5K
Asthma-II: Pathophysiology and Classification01:26

Asthma-II: Pathophysiology and Classification

2.6K
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:
2.6K
Asthma: Pathogenesis and Management01:20

Asthma: Pathogenesis and Management

254
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.
254
Chronic Obstructive Pulmonary Disease-IV: Assessement and Diagnostic Studies01:27

Chronic Obstructive Pulmonary Disease-IV: Assessement and Diagnostic Studies

2.5K
Assessing and diagnosing Chronic Obstructive Pulmonary Disease (COPD) involves a detailed approach that includes a comprehensive review of medical history, physical examination, and a variety of diagnostic tests. This thorough evaluation is essential to ensure an accurate diagnosis and guide effective management strategies.
Medical History
2.5K

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

Loss of estrogen receptor alpha promotes distant metastasis through epithelial-mesenchymal transition in luminal-type breast cancer.

Biochimica et biophysica acta. Molecular basis of disease·2025
Same author

Comparative Mitogenomic Analyses of Tanypodinae (Diptera: Chironomidae).

Insects·2025
Same author

Assessment of Vocal Characteristics Associated With Chronic Rhinosinusitis Using Machine-Learning Techniques Based on Long-Term Average Spectrum of Voice.

Journal of voice : official journal of the Voice Foundation·2024
Same author

New mitogenomes from the genus Cricotopus (Diptera: Chironomidae, Orthocladiinae): Characterization and phylogenetic implications.

Archives of insect biochemistry and physiology·2023
Same author

Operating Room Usage Time Estimation with Machine Learning Models.

Healthcare (Basel, Switzerland)·2022
Same author

Integrative Analysis of Elicitor-Induced Camptothecin Biosynthesis in <i>Camptotheca acuminata</i> Plantlets Through a Combined Omics Approach.

Frontiers in plant science·2022
Same journal

Correction: Haddock et al. <i>Imagine the Possibilities Pain Coalition</i> and Opioid Marketing to Veterans: Lessons for Military and Veterans Healthcare. <i>Healthcare</i> 2025, <i>13</i>, 434.

Healthcare (Basel, Switzerland)·2026
Same journal

Macro Responsibility in the Microvascular World: Nurse Experiences in Flap Care, a Phenomenological Study.

Healthcare (Basel, Switzerland)·2026
Same journal

Agreement Between Standing Eight-Point Multifrequency Bioelectrical Impedance Analysis and Dual-Energy X-Ray Absorptiometry for Body Composition Assessment in Apparently Healthy Greek Adults.

Healthcare (Basel, Switzerland)·2026
Same journal

'It's Not About the Food'-Understanding the Lived Experience of Patients Who Developed Hospital-Acquired Malnutrition (HAM) and That of Their Carers.

Healthcare (Basel, Switzerland)·2026
Same journal

Unveiling the Humanizing and Therapeutic Values of Live Music in Healthcare Settings: A Scoping Review.

Healthcare (Basel, Switzerland)·2026
Same journal

Respiratory Rehabilitation and Decannulation in Adults with Prolonged Mechanical Ventilation After Tracheostomy: A Narrative Review.

Healthcare (Basel, Switzerland)·2026
查看所有相关文章

相关实验视频

Updated: May 14, 2025

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

22.3K

用人工智能驱动的数据分析来预测喘风险.

Meng-Han Chen1, Guanling Lee1, Lun-Ping Hung2

  • 1Department of Computer Science and Information Engineering, National Dong Hua University, Hualien 974301, Taiwan.

Healthcare (Basel, Switzerland)
|April 12, 2025
PubMed
概括
此摘要是机器生成的。

这项研究开发了一个使用语音分析来预测喘的AI系统. 机器学习模型实现了高精度,为临床医生提供了更快,非侵入性的诊断工具.

关键词:
人工智能 (AI) 是一种人工智能.预测喘风险 预测喘风险机器学习 (ML) 是指机器学习.

更多相关视频

Methodology for Sputum Induction and Laboratory Processing
13:28

Methodology for Sputum Induction and Laboratory Processing

Published on: December 17, 2017

27.4K
Murine Model of Allergen Induced Asthma
08:05

Murine Model of Allergen Induced Asthma

Published on: May 14, 2012

40.0K

相关实验视频

Last Updated: May 14, 2025

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

22.3K
Methodology for Sputum Induction and Laboratory Processing
13:28

Methodology for Sputum Induction and Laboratory Processing

Published on: December 17, 2017

27.4K
Murine Model of Allergen Induced Asthma
08:05

Murine Model of Allergen Induced Asthma

Published on: May 14, 2012

40.0K

科学领域:

  • 耳鼻喉科 耳鼻喉科 耳鼻喉科
  • 免疫学 免疫学 免疫学
  • 人工智能的人工智能
  • 机器学习 机器学习

背景情况:

  • 喘是一种全球性呼吸系统和免疫系统疾病.
  • 目前的喘诊断依赖于临床病史,体检和气流阻塞测试.
  • 现有的诊断方法可能是侵入性的,耗时的,影响效率.

研究的目的:

  • 开发一种基于人工智能的喘诊断预测系统.
  • 为了利用与喘引起的呼吸努力相关的声音变化.
  • 创建一个基于机器学习 (ML) 的临床决策支持工具.

主要方法:

  • 分析了1500个语音样本 (高音,正常音,低音) 的音符[i,a,u].
  • 使用长期平均频谱 (LTAS) 和单频过 Cepstral 系数 (SFCC) 提取的声学特征.
  • 采用七个ML算法来评估喘预测可行性.

主要成果:

  • 决策树,CNN和LSTM模型显示准确度高于0.8 (分别为0.88,0.80,0.84).
  • 决策树在高音调语音分析方面表现出色;LSTM在正常和低音调语音方面表现最好.
  • 特性重要性和光谱分析验证了模型的效率和可解释性.

结论:

  • 人工智能驱动的声学分析可以显著提高喘诊断效率.
  • 开发的系统为医学临床医生提供了准确可靠的决策支持.
  • 这种方法为喘检测提供了一个非侵入性的替代方案.