Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Chronic Obstructive Pulmonary Disease-IV: Assessement and Diagnostic Studies

Chronic Obstructive Pulmonary Disease-IV: Assessement and Diagnostic Studies

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

You might also read

Related Articles

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

Sort by

Same author

Phylogeny and diversity study in Damani sheep through mitochondrial DNA D-loop nucleotides sequence.

Tropical animal health and production·2026

Same author

Pediatric liver transplantation for metabolic diseases: a single-center experience.

World journal of pediatrics : WJP·2026

Same author

Molecular insights and antibiotic resistance genes characterization in clinical Vibrio cholera isolates from patients in Peshawar, Pakistan.

Molecular biology reports·2026

Same author

N-acetylcysteine modulates neutrophil-driven immune and metabolic pathways in steatotic liver ischemia-reperfusion injury.

Frontiers in immunology·2026

Same author

Persistently raised inflammatory markers in a patient with resolved lower respiratory tract infection: a diagnostic challenge.

Oxford medical case reports·2026

Same author

Evaluation of Changes in Central Macular Thickness After Neodymium-Doped Yttrium Aluminum Garnet (Nd:YAG) Posterior Capsulotomy: An Optical Coherence Tomography-Based Prospective Observational Study.

Cureus·2026

Search research articles

Related Experiment Video

Updated: Jan 13, 2026

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

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

Published on: September 19, 2025

Clinical Profile Identification of Indigenous Infants With Bronchiolitis Through Using Unsupervised Feature

Hongqi Niu¹, Gabrielle Britt McCallum², Anne Bernadette Chang^2,3

¹Faculty of Science and Technology, Charles Darwin University, Darwin, Northern Territory, Australia.

Pediatric Pulmonology

|January 7, 2026

Summary

This summary is machine-generated.

Unsupervised Feature Extraction Algorithms identified six distinct risk profiles in Indigenous infants hospitalized with bronchiolitis, aiding in early detection of chronic lung disease risks.

Keywords:

Bronchiectasis Bronchiolitis Dimensionality reduction Phenotyping Small datasets Unsupervised feature extraction

More Related Videos

Noninvasive Sampling of Mucosal Lining Fluid for the Quantification of In Vivo Upper Airway Immune-mediator Levels

Noninvasive Sampling of Mucosal Lining Fluid for the Quantification of In Vivo Upper Airway Immune-mediator Levels

Published on: August 7, 2017

Author Spotlight: Generating Neuronal Phenotypic Profiles - A Protocol to Culture and Image Human Midbrain Dopaminergic Neurons

Author Spotlight: Generating Neuronal Phenotypic Profiles - A Protocol to Culture and Image Human Midbrain Dopaminergic Neurons

Published on: July 7, 2023

Related Experiment Videos

Last Updated: Jan 13, 2026

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

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

Published on: September 19, 2025

Noninvasive Sampling of Mucosal Lining Fluid for the Quantification of In Vivo Upper Airway Immune-mediator Levels

Noninvasive Sampling of Mucosal Lining Fluid for the Quantification of In Vivo Upper Airway Immune-mediator Levels

Published on: August 7, 2017

Author Spotlight: Generating Neuronal Phenotypic Profiles - A Protocol to Culture and Image Human Midbrain Dopaminergic Neurons

Author Spotlight: Generating Neuronal Phenotypic Profiles - A Protocol to Culture and Image Human Midbrain Dopaminergic Neurons

Published on: July 7, 2023

Area of Science:

Pediatric Pulmonology
Data Science in Healthcare
Indigenous Health Research

Background:

Infants hospitalized for bronchiolitis face risks of persistent symptoms and future chronic lung diseases like bronchiectasis.
Identifying high-risk infants early can enable targeted interventions and improve long-term outcomes.
Traditional clustering methods require large datasets, posing challenges for smaller cohorts like Indigenous infants.

Purpose of the Study:

To explore the utility of Unsupervised Feature Extraction Algorithms (UFEAs) combined with clustering for identifying high-risk phenotypes in a small dataset of Indigenous infants hospitalized with bronchiolitis.
To assess if UFEAs can effectively reduce data dimensionality for risk profiling in this specific population.

Main Methods:

A cohort of 128 Indigenous infants hospitalized with bronchiolitis was analyzed.
Eight UFEAs were applied to 22 variables to reduce dimensionality (2-17 dimensions).
Kernel Principal Component Analysis (KPCA) achieved the best dimensionality reduction (9 dimensions), which were then used for clustering to identify distinct infant profiles.

Main Results:

Six distinct clinical risk profiles were identified using UFEAs and clustering.
The highest-risk profile (Profile C) showed high rates of bronchiectasis (45%), preterm birth (95%), low birth weight (86%), and household smoke exposure (90%).
Other identified profiles indicated varying levels of bronchiectasis risk, cough severity, oxygen need, and consolidation, highlighting diverse clinical presentations.

Conclusions:

UFEAs and clustering effectively reduced data dimensionality, enabling the identification of six clinically significant risk profiles in Indigenous infants.
This approach offers a viable method for risk stratification in smaller datasets, potentially guiding early interventions for infants at risk of chronic lung disease.