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 III: Complications and Assessment01:30

Pneumonia III: Complications and Assessment

977
Pneumonia poses the potential for numerous complications that warrant consideration. These complications include the following:
977
Pneumonia II: Pathophysiology01:29

Pneumonia II: Pathophysiology

3.5K
The pathophysiology of pneumonia involves the following steps:
3.5K

You might also read

Related Articles

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

Sort by
Same author

Polydopamine-assisted lithium ion loading on titanium alloy synergistically enhances osteogenesis and immunomodulation for bone regeneration: an In Vitro study.

BMC oral health·2026
Same author

Association of Gingival Crevicular Fluid Leptin Levels With Stages of Periodontitis: A Cross-Sectional Study.

International dental journal·2026
Same author

A Simple Sensitivity Analysis Method for Unmeasured Confounders via Linear Programming With Estimating Equation Constraints.

Statistics in medicine·2025
Same author

3M: Measuring Vital Signs With Markov-Gauss Model.

IEEE journal of biomedical and health informatics·2024
Same author

Association between Triglyceride-glucose index and sarcopenia in China: A nationally representative cohort study.

Experimental gerontology·2024
Same author

Prevalence and trends of polypharmacy in U.S. adults, 1999-2018.

Global health research and policy·2023

Related Experiment Video

Updated: Feb 28, 2026

Experimental Model to Evaluate Resolution of Pneumonia
09:49

Experimental Model to Evaluate Resolution of Pneumonia

Published on: February 17, 2023

2.0K

Specific diagnostic model for bacterial pneumonia constructed by combining multiple omics and multi machine learning

Qiao Hu1, Chengyao Tang2, Yawen Guo1

  • 1Department of Geriatrics and Special Services Medicine, Xinqiao Hospital, Army Military Medical University, Chongqing, 400037, China.

Computers in Biology and Medicine
|February 26, 2026
PubMed
Summary

This study identifies 8 novel biomarkers for diagnosing bacterial pneumonia (BPs). A logistic regression model demonstrated high accuracy, offering a reliable tool for clinical diagnosis of BPs.

Keywords:
Bacterial pneumoniaBiomarkersDiagnosisMachine learning

More Related Videos

A Robust Pneumonia Model in Immunocompetent Rodents to Evaluate Antibacterial Efficacy against S. pneumoniae, H. influenzae, K. pneumoniae, P. aeruginosa or A. baumannii
09:17

A Robust Pneumonia Model in Immunocompetent Rodents to Evaluate Antibacterial Efficacy against S. pneumoniae, H. influenzae, K. pneumoniae, P. aeruginosa or A. baumannii

Published on: January 2, 2017

15.3K
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

580

Related Experiment Videos

Last Updated: Feb 28, 2026

Experimental Model to Evaluate Resolution of Pneumonia
09:49

Experimental Model to Evaluate Resolution of Pneumonia

Published on: February 17, 2023

2.0K
A Robust Pneumonia Model in Immunocompetent Rodents to Evaluate Antibacterial Efficacy against S. pneumoniae, H. influenzae, K. pneumoniae, P. aeruginosa or A. baumannii
09:17

A Robust Pneumonia Model in Immunocompetent Rodents to Evaluate Antibacterial Efficacy against S. pneumoniae, H. influenzae, K. pneumoniae, P. aeruginosa or A. baumannii

Published on: January 2, 2017

15.3K
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

580

Area of Science:

  • Biochemistry
  • Genomics
  • Machine Learning

Background:

  • Accurate diagnosis of bacterial pneumonia (BPs) is challenging, necessitating novel biomarkers.
  • Distinguishing BPs from non-bacterial pneumonia (NBPs) is crucial for effective treatment.

Purpose of the Study:

  • To discover specific biomarkers for bacterial pneumonia (BPs).
  • To develop a machine learning-based diagnostic model for BPs.

Main Methods:

  • Serum samples from 45 BPs and 35 NBPs patients underwent miRNA, proteomic, and metabolomic sequencing.
  • Eight potential biomarkers were identified through profiling.
  • Six machine learning algorithms (LR, RF, SVM, XGBoost, LightGBM, ExtraTree) were employed for model development.

Main Results:

  • Eight candidate biomarkers were screened for their diagnostic potential in BPs.
  • The logistic regression (LR) model achieved the highest AUC of 0.892.
  • The LR model exhibited a sensitivity of 0.769 and specificity of 0.900 for BPs diagnosis.

Conclusions:

  • This research identified 8 potential biomarkers for bacterial pneumonia (BPs) diagnosis.
  • A reliable diagnostic model using logistic regression was established for BPs.