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

Pneumonia II: Pathophysiology01:29

Pneumonia II: Pathophysiology

1.8K
The pathophysiology of pneumonia involves the following steps:
1.8K
Pneumonia I: Introduction01:30

Pneumonia I: Introduction

497
Pneumonia is an acute respiratory infection that targets the lungs, specifically the alveoli. These tiny air sacs, essential for oxygen exchange, become engorged with pus and fluid, severely hindering breathing, decreasing oxygen absorption, and causing significant pain and discomfort during respiration.
Risk Factors
Various factors influence the likelihood of developing pneumonia. Age plays a crucial role, with infants, children under two, and individuals over 65 at increased risk due to their...
497
Pneumonia IV: Management01:28

Pneumonia IV: Management

580
The treatment of pneumonia varies based on its severity and the causative pathogen. Here is a structured approach to managing pneumonia, integrating pharmaceutical and supportive care strategies.
Bacterial Pneumonia Treatment
For bacterial pneumonia, antibiotics serve as the cornerstone of therapy. Initial treatment often begins with empirical antibiotics, tailored to the anticipated causative organism and adjusted based on culture results. Key antibiotic choices include:
580
Pneumonia III: Complications and Assessment01:30

Pneumonia III: Complications and Assessment

590
Pneumonia poses the potential for numerous complications that warrant consideration. These complications include the following:
590
Pneumonia V: Nursing management and Prevention01:30

Pneumonia V: Nursing management and Prevention

3.0K
Nursing management of pneumonia involves promoting airway patency, facilitating rest and conserving energy, encouraging fluid intake, maintaining nutrition, and educating patients.
The nurse must practice strict medical asepsis and adhere to infection control guidelines to minimize healthcare-associated infections.
Enhance airway patency
Position the patient correctly to facilitate drainage of the affected lung segments. Manual or mechanical percussion and vibration can also be employed....
3.0K
Pulmonary Hypertension: Classification and Pathogenesis01:30

Pulmonary Hypertension: Classification and Pathogenesis

415
Pulmonary hypertension (PH) is a severe health condition in which the mean pulmonary arterial pressure increases to 25 mmHg or more, even when the body is at rest. This high pressure in the blood vessels that transport blood from the heart to the lungs can cause various symptoms, including shortness of breath, can lead to right heart failure, and significantly affect the overall quality of life.
There are various classifications for PH, each relating to different underlying causes and also...
415

You might also read

Related Articles

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

Sort by
Same author

Associations between musculoskeletal health literacy and changes in pain catastrophizing and kinesiophobia after arthroscopic rotator cuff repair: A prospective study.

Journal of back and musculoskeletal rehabilitation·2026
Same author

A Novel ConvNeXtV2-MIL Approach for Accurate and Efficient Classification of Microscopic Fungal Morphology.

Journal of imaging informatics in medicine·2026
Same author

Automated Detection of Taurodontism in Panoramic Radiographs Using a YOLOv8-Based Deep Learning Model.

Journal of imaging informatics in medicine·2026
Same author

DiagPat: An Explainable Language Detection Model Using EEG Signals.

Sensors (Basel, Switzerland)·2026
Same author

A novel and accurate EEG emotion classification model based on multiple attention local binary patterns.

BMC medicine·2026
Same author

Different pattern: a new EEG-based method for mental performance detection.

BMC medical informatics and decision making·2026

Related Experiment Video

Updated: Nov 19, 2025

Lung CT Segmentation to Identify Consolidations and Ground Glass Areas for Quantitative Assesment of SARS-CoV Pneumonia
08:05

Lung CT Segmentation to Identify Consolidations and Ground Glass Areas for Quantitative Assesment of SARS-CoV Pneumonia

Published on: December 19, 2020

14.5K

A novel Covid-19 and pneumonia classification method based on F-transform.

Turker Tuncer1, Fatih Ozyurt2, Sengul Dogan1

  • 1Department of Digital Forensics Engineering, Firat University, Elazig, 23000, Turkey.

Chemometrics and Intelligent Laboratory Systems : an International Journal Sponsored by the Chemometrics Society
|February 3, 2021
PubMed
Summary

A novel fuzzy tree classification approach effectively detects Covid-19 from chest X-rays. This machine learning model achieved 97.01% accuracy, distinguishing Covid-19 from pneumonia and normal cases.

Keywords:
CoronaCovid-19Fuzzy treeMulti-kernel local binary patternTexture recognitionX-ray image recognition

More Related Videos

Following in Real Time the Impact of Pneumococcal Virulence Factors in an Acute Mouse Pneumonia Model Using Bioluminescent Bacteria
11:32

Following in Real Time the Impact of Pneumococcal Virulence Factors in an Acute Mouse Pneumonia Model Using Bioluminescent Bacteria

Published on: February 23, 2014

15.3K
Experimental Model to Evaluate Resolution of Pneumonia
09:49

Experimental Model to Evaluate Resolution of Pneumonia

Published on: February 17, 2023

1.6K

Related Experiment Videos

Last Updated: Nov 19, 2025

Lung CT Segmentation to Identify Consolidations and Ground Glass Areas for Quantitative Assesment of SARS-CoV Pneumonia
08:05

Lung CT Segmentation to Identify Consolidations and Ground Glass Areas for Quantitative Assesment of SARS-CoV Pneumonia

Published on: December 19, 2020

14.5K
Following in Real Time the Impact of Pneumococcal Virulence Factors in an Acute Mouse Pneumonia Model Using Bioluminescent Bacteria
11:32

Following in Real Time the Impact of Pneumococcal Virulence Factors in an Acute Mouse Pneumonia Model Using Bioluminescent Bacteria

Published on: February 23, 2014

15.3K
Experimental Model to Evaluate Resolution of Pneumonia
09:49

Experimental Model to Evaluate Resolution of Pneumonia

Published on: February 17, 2023

1.6K

Area of Science:

  • Medical Imaging and Artificial Intelligence
  • Computer-Aided Diagnosis

Background:

  • The global impact of Covid-19 necessitates advanced diagnostic tools.
  • Distinguishing Covid-19 from pneumonia using chest X-rays presents a diagnostic challenge due to overlapping visual characteristics.

Purpose of the Study:

  • To introduce a novel fuzzy tree classification approach for accurate Covid-19 detection.
  • To develop and evaluate a machine learning model for differentiating Covid-19, pneumonia, and normal chest X-ray images.

Main Methods:

  • A dataset of Covid-19, pneumonia, and normal chest X-ray images was utilized.
  • Fuzzy tree transformation generated 15 image representations from each original chest X-ray.
  • Feature extraction using Multi-Kernel Local Binary Pattern (MKLBP) followed by selection with Iterative Neighborhood Component Analysis (INCA) identified 616 distinctive features, which were then classified using 16 conventional algorithms.

Main Results:

  • The proposed exemplar model, incorporating fuzzy tree transformation and MKLBP features, demonstrated strong performance.
  • Cubic Support Vector Machine (SVM) emerged as the best-performing classifier among the tested algorithms.
  • The Cubic SVM achieved a classification accuracy of 97.01% for Covid-19 detection.

Conclusions:

  • The novel fuzzy tree classification approach, coupled with the exemplar model and Cubic SVM, offers a highly accurate method for Covid-19 detection from chest X-rays.
  • This methodology shows significant potential for clinical application in diagnosing Covid-19, especially in differentiating it from pneumonia.