Pulmonology

Asthma

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

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Showing 379-399 of 2,193 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...

Nov 2018 30439599
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...

Oct 2018 31304329
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...

Sep 2018 30266231
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...

Jun 2018 29970272
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, ...

Jun 2018 29956778
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-...

Jun 2018 29891868
Modeling asynchronous event sequences with RNNs.

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

Jun 2018 29883623
Lung sounds classification using convolutional neural networks.

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

(1)
May 2018 29724435
Multichannel lung sound analysis for asthma detection.

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

Mar 2018 29650306
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...

Feb 2018 29439692
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...

Feb 2018 29483774
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...

(4)
Feb 2018 29438770
Inner and Outer Recursive Neural Networks for Chemoinformatics Applications.

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

Jan 2018 29320180
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...

(1)
Dec 2017 29283405
Exhaled breath condensate metabolome clusters for endotype discovery in asthma.

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

Dec 2017 29273025
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...

(4)
Dec 2017 29261454
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...

Dec 2017 29413502
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 ...

Nov 2017 29166411
Collaborative targeted learning using regression shrinkage.

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

Nov 2017 29094375
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