Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Chronic Obstructive Pulmonary Disease01:22

Chronic Obstructive Pulmonary Disease

2.0K
COPD is defined as a heterogeneous lung condition marked by persistent respiratory symptoms such as dyspnea, cough, and sputum production, caused by abnormalities in the airways that cause airflow obstruction.
Smoking is a primary risk factor for COPD, with over 80% of patients having a history of it. Patients typically experience progressive dyspnea or labored breathing, frequent coughing, and recurrent pulmonary infections. Many eventually succumb to respiratory failure, characterized by...
2.0K
Chronic Obstructive Pulmonary Disease-IV: Assessement and Diagnostic Studies01:27

Chronic Obstructive Pulmonary Disease-IV: Assessement and Diagnostic Studies

2.9K
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
2.9K
Chronic Obstructive Pulmonary Disease-I: Introduction01:20

Chronic Obstructive Pulmonary Disease-I: Introduction

3.3K
Chronic Obstructive Pulmonary Disease (COPD) is a long-lasting respiratory condition requiring continuous attention and care. It is a progressive lung disease that leads to breathing challenges due to airflow obstruction. It manifests as persistent respiratory symptoms and restricted airflow resulting from abnormalities in the airways and alveoli, usually due to long-term exposure to harmful particles or gases. COPD mainly consists of two primary conditions: emphysema and chronic bronchitis.
3.3K
Chronic Obstructive Pulmonary Disease-II: Pathophysiology01:20

Chronic Obstructive Pulmonary Disease-II: Pathophysiology

3.8K
Chronic Obstructive Pulmonary Disease (COPD) pathophysiology is intricate and multifaceted, involving a complex interplay of physiological processes. Understanding these mechanisms is crucial for effectively managing and treating COPD. Here is an in-depth look at the critical elements in the pathophysiology of COPD:
Chronic Inflammation
3.8K
Chronic Obstructive Pulmonary Disease-V: Management01:29

Chronic Obstructive Pulmonary Disease-V: Management

2.9K
Managing Chronic Obstructive Pulmonary Disease (COPD) involves a multifaceted approach to reduce symptoms, prevent exacerbations, improve overall health status, and slow disease progression. Key strategies include lifestyle modifications, pharmacotherapy, supportive therapies, and, in some cases, surgery. Here is an overview of the primary COPD management strategies:
Smoking Cessation
2.9K
Observational Studies01:11

Observational Studies

10.5K
Observational studies are a type of analytical study where researchers observe events without any interventions. In other words, the researcher does not influence the response variable or the experiment's outcome.
There are three types of observational studies – Prospective, retrospective, and cross-sectional.
Prospective Study
Prospective studies, also known as longitudinal or cohort studies, are carried out by collecting future data from groups sharing similar characteristics. One...
10.5K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

A new frontier for image markers in COPD.

The European respiratory journal·2026
Same author

Association Between Improvement in Institutional COPD Quality Assessment Grade and Risk of Acute Exacerbations in Primary and Secondary Care: A Nationwide Claims-Based Study.

International journal of chronic obstructive pulmonary disease·2026
Same author

Effect of Socioeconomic Status on Lung Function in the Korean General Population.

Journal of Korean medical science·2026
Same author

Prognostic value of distance-saturation product in COPD: Korean nationwide cohort study.

ERJ open research·2026
Same author

Prognostic value of gait speed for exacerbations and mortality in COPD.

ERJ open research·2026
Same author

Ambient Air Pollution and Risk of ARDS and Mortality in Moderate to Severe COVID-19.

Respirology (Carlton, Vic.)·2026

Related Experiment Video

Updated: Nov 29, 2025

Generation of a Chronic Obstructive Pulmonary Disease Model in Mice by Repeated Ozone Exposure
08:17

Generation of a Chronic Obstructive Pulmonary Disease Model in Mice by Repeated Ozone Exposure

Published on: August 25, 2017

11.3K

Chronic obstructive pulmonary disease research by using big data.

Chin Kook Rhee1

  • 1Division of Pulmonary, Allergy and Critical Care Medicine, Department of Internal Medicine, College of Medicine, Seoul St Mary's Hospital, The Catholic University of Korea, Seoul, South Korea.

The Clinical Respiratory Journal
|November 18, 2020
PubMed
Summary
This summary is machine-generated.

Big data analytics offers valuable insights for chronic obstructive pulmonary disease (COPD) research. Integrating diverse data sources, like healthcare claims and web data, enhances research by overcoming individual limitations.

Keywords:
air pollutionbig datachronic obstructive pulmonary diseaseclaim

More Related Videos

Machine Learning-Based Cough Tone Classification: Diagnostic Exploration of Chronic Obstructive Pulmonary Disease and Respiratory Tract Infections
06:22

Machine Learning-Based Cough Tone Classification: Diagnostic Exploration of Chronic Obstructive Pulmonary Disease and Respiratory Tract Infections

Published on: September 19, 2025

250
Multi-modal Pulmonary Imaging: Using Complementary Information from CT and Hyperpolarized 129Xe MRI to Evaluate Lung Structure-Function
02:09

Multi-modal Pulmonary Imaging: Using Complementary Information from CT and Hyperpolarized 129Xe MRI to Evaluate Lung Structure-Function

Published on: April 12, 2024

877

Related Experiment Videos

Last Updated: Nov 29, 2025

Generation of a Chronic Obstructive Pulmonary Disease Model in Mice by Repeated Ozone Exposure
08:17

Generation of a Chronic Obstructive Pulmonary Disease Model in Mice by Repeated Ozone Exposure

Published on: August 25, 2017

11.3K
Machine Learning-Based Cough Tone Classification: Diagnostic Exploration of Chronic Obstructive Pulmonary Disease and Respiratory Tract Infections
06:22

Machine Learning-Based Cough Tone Classification: Diagnostic Exploration of Chronic Obstructive Pulmonary Disease and Respiratory Tract Infections

Published on: September 19, 2025

250
Multi-modal Pulmonary Imaging: Using Complementary Information from CT and Hyperpolarized 129Xe MRI to Evaluate Lung Structure-Function
02:09

Multi-modal Pulmonary Imaging: Using Complementary Information from CT and Hyperpolarized 129Xe MRI to Evaluate Lung Structure-Function

Published on: April 12, 2024

877

Area of Science:

  • Health Informatics
  • Pulmonary Medicine
  • Data Science

Background:

  • The proliferation of digital health information systems has made big data readily accessible for medical research.
  • Big data analytics is increasingly recognized as a vital tool for advancing the understanding and treatment of chronic obstructive pulmonary disease (COPD).
  • Existing data sources for COPD research include nationwide claims and primary care databases, with recent integration of web data.

Purpose of the Study:

  • To explore the utility of big data in chronic obstructive pulmonary disease (COPD) research.
  • To evaluate the strengths and limitations of various data sources used in COPD big data research.
  • To highlight the potential of data integration for enhancing COPD research outcomes.

Main Methods:

  • Review and synthesis of existing literature on big data applications in COPD research.
  • Analysis of different data sources, including healthcare claims, primary care databases, and web data.
  • Discussion of data merging strategies to overcome limitations of individual datasets.

Main Results:

  • Big data provides a valuable resource for chronic obstructive pulmonary disease (COPD) research, offering new avenues for investigation.
  • Each data source (e.g., claims, primary care, web data) possesses unique strengths and inherent weaknesses.
  • Combining disparate data sources can effectively mitigate the limitations associated with single-source big data research.

Conclusions:

  • Big data analytics is a powerful approach for advancing COPD research.
  • Integrating multiple big data sources is a promising future direction for more robust and comprehensive COPD studies.
  • Future research should focus on developing and implementing methodologies for multi-source big data integration in pulmonary disease research.