Pulmonology

Asthma

Latest AI and machine learning research in asthma for healthcare professionals.

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Showing 232-252 of 1,587 articles
Characterization and classification of asthmatic wheeze sounds according to severity level using spectral integrated features.

OBJECTIVE: This study aimed to investigate and classify wheeze sounds of asthmatic patients accordin...

Sociomarkers and biomarkers: predictive modeling in identifying pediatric asthma patients at risk of hospital revisits.

The importance of social components of health has been emphasized both in epidemiology and public he...

Predicting of anaphylaxis in big data EMR by exploring machine learning approaches.

Anaphylaxis is a life-threatening allergic reaction that occurs suddenly after contact with an aller...

Machine learning approaches for predicting disposition of asthma and COPD exacerbations in the ED.

OBJECTIVE: The prediction of emergency department (ED) disposition at triage remains challenging. Ma...

Identification of differentially expressed genes associated with asthma in children based on the bioanalysis of the regulatory network.

Asthma, the most common chronic respiratory tract disease in children, is characterized by allergy, ...

A Nasal Brush-based Classifier of Asthma Identified by Machine Learning Analysis of Nasal RNA Sequence Data.

Asthma is a common, under-diagnosed disease affecting all ages. We sought to identify a nasal brush-...

Modeling asynchronous event sequences with RNNs.

Sequences of events have often been modeled with computational techniques, but typical preprocessing...

Lung sounds classification using convolutional neural networks.

Lung sounds convey relevant information related to pulmonary disorders, and to evaluate patients wit...

Multichannel lung sound analysis for asthma detection.

BACKGROUND AND OBJECTIVE: Lung sound signals convey valuable information of the lung status. Auscult...

Automated chart review utilizing natural language processing algorithm for asthma predictive index.

BACKGROUND: Thus far, no algorithms have been developed to automatically extract patients who meet A...

Mixed Th2 and non-Th2 inflammatory pattern in the asthma-COPD overlap: a network approach.

INTRODUCTION: The asthma-chronic obstructive pulmonary disease (COPD) overlap (ACO) is a clinical co...

Ascertainment of asthma prognosis using natural language processing from electronic medical records.

NLP algorithm successfully determined asthma prognosis (i.e., no remission, long-term remission, and...

Inner and Outer Recursive Neural Networks for Chemoinformatics Applications.

Deep learning methods applied to problems in chemoinformatics often require the use of recursive neu...

The Impact of Bronchodilator Therapy on Systolic Heart Failure with Concomitant Mild to Moderate COPD.

In older adults, chronic obstructive pulmonary disease (COPD) is commonly associated with heart fail...

Exhaled breath condensate metabolome clusters for endotype discovery in asthma.

BACKGROUND: Asthma is a complex, heterogeneous disorder with similar presenting symptoms but with va...

Development of an Inline Dry Powder Inhaler That Requires Low Air Volume.

BACKGROUND: Inline dry powder inhalers (DPIs) are actuated by an external air source and have distin...

Efficacy and safety of lebrikizumab in adult patients with mild-to-moderate asthma not receiving inhaled corticosteroids.

BACKGROUND: Asthma is a heterogeneous and complex disease in both its clinical course and response t...

A machine learning approach to triaging patients with chronic obstructive pulmonary disease.

COPD patients are burdened with a daily risk of acute exacerbation and loss of control, which could ...

Collaborative targeted learning using regression shrinkage.

Causal inference practitioners are routinely presented with the challenge of model selection and, in...

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