AI Medical Compendium Journal:
The Journal of asthma : official journal of the Association for the Care of Asthma

Showing 1 to 7 of 7 articles

Machine learning models for preventative mobile health asthma control.

The Journal of asthma : official journal of the Association for the Care of Asthma Jan 24, 2025
INTRODUCTION: Asthma attacks are set off by triggers such as pollutants from the environment, respiratory viruses, physical activity and allergens. The aim of this research is to create a machine learning model using data from mobile health technolog...
Humans Machine Learning Asthma Telemedicine
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Assessing ChatGPT's accuracy and reliability in asthma general knowledge: implications for artificial intelligence use in public health education.

The Journal of asthma : official journal of the Association for the Care of Asthma Jan 11, 2025
BACKGROUND: Integrating Artificial Intelligence (AI) into public health education represents a pivotal advancement in medical knowledge dissemination, particularly for chronic diseases such as asthma. This study assesses the accuracy and comprehensiv...
Adult Asthma Male Female Reproducibility of Results Generative Artificial Intelligence Health Knowledge, Attitudes, Practice Health Education Humans Middle Aged Artificial Intelligence Public Health Surveys and Questionnaires
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Assessing prospective molecular biomarkers and functional pathways in severe asthma based on a machine learning method and bioinformatics analyses.

The Journal of asthma : official journal of the Association for the Care of Asthma Oct 12, 2024
BACKGROUND: Severe asthma, which differs significantly from typical asthma, involves specific molecular biomarkers that enhance our understanding and diagnostic capabilities. The objective of this study is to assess the biological processes underlyin...
Biomarkers Asthma Severity of Illness Index Humans Machine Learning Computational Biology Databases, Genetic Gene Ontology Gene Expression Profiling Gene Regulatory Networks
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Machine learning model for classification of predominantly allergic and non-allergic asthma among preschool children with asthma hospitalization.

The Journal of asthma : official journal of the Association for the Care of Asthma Apr 7, 2022
OBJECTIVE: Asthma is the most frequent chronic airway illness in preschool children and is difficult to diagnose due to the disease's heterogeneity. This study aimed to investigate different machine learning models and suggested the most effective on...
Child, Preschool Chronic Disease Azithromycin Hospitalization Asthma Budesonide Humans Machine Learning
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Detecting asthma exacerbations using daily home monitoring and machine learning.

The Journal of asthma : official journal of the Association for the Care of Asthma Aug 14, 2020
OBJECTIVE: Acute exacerbations contribute significantly to the morbidity of asthma. Recent studies have shown that early detection and treatment of asthma exacerbations leads to improved outcomes. We aimed to develop a machine learning algorithm to d...
Formoterol Fumarate Home Care Services Terbutaline Monitoring, Physiologic Budesonide Bronchodilator Agents Severity of Illness Index Drug Combinations Machine Learning Female Asthma Male Middle Aged Humans Disease Progression
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Deep learning approaches for sleep disorder prediction in an asthma cohort.

The Journal of asthma : official journal of the Association for the Care of Asthma Mar 18, 2020
OBJECTIVE: Sleep is a natural activity of humans that affects physical and mental health; therefore, sleep disturbance may lead to fatigue and lower productivity. This study examined 1 million samples included in the Taiwan National Health Insurance ...
Middle Aged Infant Deep Learning Adolescent Child, Preschool Child Humans Adult Artificial Intelligence Asthma Male Female Nerve Tissue Proteins Young Adult DNA-Binding Proteins Predictive Value of Tests Sleep Wake Disorders
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Prodromal clinical, demographic, and socio-ecological correlates of asthma in adults: a 10-year statewide big data multi-domain analysis.

The Journal of asthma : official journal of the Association for the Care of Asthma Jul 26, 2019
To identify prodromal correlates of asthma as compared to chronic obstructive pulmonary disease and allied-conditions (COPDAC) using a multi domain analysis of socio-ecological, clinical, and demographic domains. This is a retrospective case-risk-co...
ROC Curve Socioeconomic Factors Adult Longitudinal Studies Asthma Retrospective Studies Florida Case-Control Studies Male Female Humans Big Data Middle Aged Models, Biological Risk Factors Machine Learning Risk Assessment Early Diagnosis Administrative Claims, Healthcare
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