Pulmonology

Asthma

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

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Showing 253-273 of 1,587 articles
Diagnosing asthma and chronic obstructive pulmonary disease with machine learning.

This study examines the clinical decision support systems in healthcare, in particular about the pre...

Fuzzy model to estimate the number of hospitalizations for asthma and pneumonia under the effects of air pollution.

OBJECTIVE: Predict the number of hospitalizations for asthma and pneumonia associated with exposure ...

Natural Language Processing for Asthma Ascertainment in Different Practice Settings.

BACKGROUND: We developed and validated NLP-PAC, a natural language processing (NLP) algorithm based ...

Early Detection of Peak Demand Days of Chronic Respiratory Diseases Emergency Department Visits Using Artificial Neural Networks.

Chronic respiratory diseases, mainly asthma and chronic obstructive pulmonary disease (COPD), affect...

High-accuracy detection of airway obstruction in asthma using machine learning algorithms and forced oscillation measurements.

BACKGROUND AND OBJECTIVES: The main pathologic feature of asthma is episodic airway obstruction. Thi...

Cross-Disciplinary Consultancy to Enhance Predictions of Asthma Exacerbation Risk in Boston.

This paper continues an initiative conducted by the International Society for Disease Surveillance w...

Medicinal Plants of the Australian Aboriginal Dharawal People Exhibiting Anti-Inflammatory Activity.

Chronic inflammation contributes to multiple ageing-related musculoskeletal and neurodegenerative di...

Classification of Exacerbation Frequency in the COPDGene Cohort Using Deep Learning With Deep Belief Networks.

This study aims to develop an automatic classifier based on deep learning for exacerbation frequency...

Analysis of correlation between pediatric asthma exacerbation and exposure to pollutant mixtures with association rule mining.

OBJECTIVES: Traditional studies on effects of outdoor pollution on asthma have been criticized for q...

Predicting the Fine Particle Fraction of Dry Powder Inhalers Using Artificial Neural Networks.

Dry powder inhalers are increasingly popular for delivering drugs to the lungs for the treatment of ...

Energy Efficient Monitoring of Metered Dose Inhaler Usage.

Life-long chronic inflammatory diseases of the airways, such as asthma and Chronic Obstructive Pulmo...

Machine learning approaches to personalize early prediction of asthma exacerbations.

Patient telemonitoring results in an aggregation of significant amounts of information about patient...

Lung sound classification using cepstral-based statistical features.

Lung sounds convey useful information related to pulmonary pathology. In this paper, short-term spec...

Use of a Robotic Sampler (PIPER) for Evaluation of Particulate Matter Exposure and Eczema in Preschoolers.

While the association of eczema with asthma is well recognized, little research has focused on the p...

Outcome of Inhaler Withdrawal in Patients Receiving Triple Therapy for COPD.

BACKGROUND: The purpose of this study was to document outcomes following withdrawal of a single inha...

Powerful Tests for Multi-Marker Association Analysis Using Ensemble Learning.

Multi-marker approaches have received a lot of attention recently in genome wide association studies...

Neuro-fuzzy classification of asthma and chronic obstructive pulmonary disease.

BACKGROUND: This paper presents a system for classification of asthma and chronic obstructive pulmon...

Synthesis of -Mannich bases of berberine linking piperazine moieties revealing anticancer and antioxidant effects.

A new Mannich base series of piperazine linked berberine analogues was furnished in this study to sc...

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