Asthma

Asthma

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

1,724 articles

Pulmonology Subcategories: Asthma COPD Cystic Fibrosis Pneumonia Tuberculosis

Showing 400-420 of 1,724 articles

Effect of Clinical History on Predictive Model Performance for Renal Complications of Diabetes

Diabetes is a chronic disease characterised by a high risk of developing diabetic nephropathy, whi...

Sep 2024 http://arxiv.org/abs/2409.13743v1

Enhancing Asthma Self-Management with Environmental Passive-Monitoring Data and Machine Learning-Based Predictions.

Monitoring enables timely action which is critical in avoiding asthma attacks. With the abundance of...

Aug 2024 39176891

AcousAF: Acoustic Sensing-Based Atrial Fibrillation Detection System for Mobile Phones

Atrial fibrillation (AF) is characterized by irregular electrical impulses originating in the atri...

Aug 2024 http://arxiv.org/abs/2408.04912v1

Accuracy of an Artificial Intelligence System for Interval Breast Cancer Detection at Screening Mammography.

Background Artificial intelligence (AI) systems can be used to identify interval breast cancers, alt...

Aug 2024 39189901

UnPaSt: unsupervised patient stratification by differentially expressed biclusters in omics data

Most complex diseases, including cancer and non-malignant diseases like asthma, have distinct mole...

Jul 2024 http://arxiv.org/abs/2408.00200v1

Examining the effectiveness of artificial intelligence applications in asthma and COPD outpatient support in terms of patient health and public cost: SWOT analysis.

This research aimed to examine the effectiveness of artificial intelligence applications in asthma a...

Jul 2024 39029048

Towards Personalized Inhalation Therapy by Correlating Chest CT Imaging and Pulmonary Function Test Features Using Machine Learning.

Inhalation therapy is the predominant method of treatment for a variety of respiratory diseases. The...

Jul 2024 40039039

Ethical considerations for artificial intelligence in dermatology: a scoping review.

The field of dermatology is experiencing the rapid deployment of artificial intelligence (AI), from ...

May 2024 38330217

An intentional approach to managing bias in general purpose embedding models.

Advances in machine learning for health care have brought concerns about bias from the research comm...

Feb 2024 38278614

Deep Learning-based Time-to-event Analysis of Depression and Asthma using the All of Us Research Program.

While there is a growing recognition of the association between depression and asthma, few studies h...

Jan 2024 40417537

Machine learning approaches for asthma disease prediction among adults in Sri Lanka.

Addressing the challenge of cost-effective asthma diagnosis amidst diverse symptom patterns among p...

Jan 2024 39262121

Importance of GWAS Risk Loci and Clinical Data in Predicting Asthma Using Machine-learning Approaches.

INTRODUCTION: To understand the risk factors of asthma, we combined genome-wide association study (G...

Jan 2024 37278039

A framework for language technologies in behavioral research and clinical applications: Ethical challenges, implications, and solutions.

Technological advances in the assessment and understanding of speech and language within the domains...

Jan 2024 38236217

Interhemispheric connections in the maintenance of language performance and prognosis prediction: fully connected layer-based deep learning model analysis.

OBJECTIVE: Language-related networks have been recognized in functional maintenance, which has also ...

Jun 2023 37283401

Pulmonology

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Effect of Clinical History on Predictive Model Performance for Renal Complications of Diabetes

Enhancing Asthma Self-Management with Environmental Passive-Monitoring Data and Machine Learning-Based Predictions.

AcousAF: Acoustic Sensing-Based Atrial Fibrillation Detection System for Mobile Phones

Accuracy of an Artificial Intelligence System for Interval Breast Cancer Detection at Screening Mammography.

UnPaSt: unsupervised patient stratification by differentially expressed biclusters in omics data

Examining the effectiveness of artificial intelligence applications in asthma and COPD outpatient support in terms of patient health and public cost: SWOT analysis.

Towards Personalized Inhalation Therapy by Correlating Chest CT Imaging and Pulmonary Function Test Features Using Machine Learning.

Ethical considerations for artificial intelligence in dermatology: a scoping review.

An intentional approach to managing bias in general purpose embedding models.

Deep Learning-based Time-to-event Analysis of Depression and Asthma using the All of Us Research Program.

Machine learning approaches for asthma disease prediction among adults in Sri Lanka.

Importance of GWAS Risk Loci and Clinical Data in Predicting Asthma Using Machine-learning Approaches.

A framework for language technologies in behavioral research and clinical applications: Ethical challenges, implications, and solutions.

Sputum Neutrophil Gelatinase-Associated Lipocalin as a Biomarker in Asthma-COPD Overlap.

DeepAlgPro: an interpretable deep neural network model for predicting allergenic proteins.

Exacerbations of COPD.

[Robot-assisted Extended Thymectomy via a Bilateral Approach for Patients with Myasthenia Gravis].

Automated Gas Chromatography Peak Alignment: A Deep Learning Approach using Greedy Optimization and Simulation.

Handling Class Imbalance in Machine Learning-based Prediction Models: A Case Study in Asthma Management.

Combining NLP and Machine Learning for Differential Diagnosis of COPD Exacerbation Using Emergency Room Data.

Interhemispheric connections in the maintenance of language performance and prognosis prediction: fully connected layer-based deep learning model analysis.

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