AIMC Topic: Asthma

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AsthmaKGxE: An asthma-environment interaction knowledge graph leveraging public databases and scientific literature.

Computers in biology and medicine Aug 2, 2022
MOTIVATION: Asthma is a complex heterogeneous disease resulting from intricate interactions between genetic and non-genetic factors related to environmental and psychosocial aspects. Discovery of such interactions can provide insights into the pathop...
Humans Asthma Pattern Recognition, Automated Gene-Environment Interaction Artificial Intelligence Databases, Factual
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Deep Learning for Automatic Upper Airway Obstruction Detection by Analysis of Flow-Volume Curve.

Respiration; international review of thoracic diseases May 12, 2022
BACKGROUND: Due to the similar symptoms of upper airway obstruction to asthma, misdiagnosis is common. Spirometry is a cost-effective screening test for upper airway obstruction and its characteristic patterns involving fixed, variable intrathoracic ...
Spirometry Respiration Disorders Airway Obstruction Humans Asthma Deep Learning Constriction, Pathologic
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S. aureus and IgE-mediated diseases: pilot or copilot? A narrative review.

Expert review of clinical immunology May 9, 2022
INTRODUCTION: is a major opportunistic pathogen that has been implicated in the pathogenesis of several chronic inflammatory diseases including bronchial asthma, chronic rhinosinusitis with nasal polyps (CRSwNP), chronic spontaneous urticaria (CSU),...
Sinusitis Staphylococcus aureus Immunoglobulin E Rhinitis Humans Enterotoxins Chronic Disease Asthma Methicillin-Resistant Staphylococcus aureus Nasal Polyps
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Environmental and clinical data utility in pediatric asthma exacerbation risk prediction models.

BMC medical informatics and decision making Apr 22, 2022
BACKGROUND: Asthma exacerbations are triggered by a variety of clinical and environmental factors, but their relative impacts on exacerbation risk are unclear. There is a critical need to develop methods to identify children at high-risk for future e...
Humans ROC Curve Electronic Health Records Machine Learning Asthma Retrospective Studies Child
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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...
Azithromycin Humans Child, Preschool Budesonide Hospitalization Machine Learning Chronic Disease Asthma
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Effect Evaluation of Electronic Health PDCA Nursing in Treatment of Childhood Asthma with Artificial Intelligence.

Journal of healthcare engineering Mar 28, 2022
Asthma in children has a long duration and is prone to recurring attacks. Children will feel chest tightness, shortness of breath, cough, and difficulty breathing when they are onset, which has a serious impact on their health. Clinical nursing is of...
Child Electronics Humans Neural Networks, Computer Algorithms Asthma Artificial Intelligence
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Predicting Continuity of Asthma Care Using a Machine Learning Model: Retrospective Cohort Study.

International journal of environmental research and public health Jan 22, 2022
Continuity of care (COC) has been shown to possess numerous health benefits for chronic diseases. Specifically, the establishment of its level can facilitate clinical decision-making and enhanced allocation of healthcare resources. However, the use o...
Humans Machine Learning Forecasting Asthma Continuity of Patient Care Retrospective Studies Adult
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Evaluation of Glucocorticoid Therapy in Asthma Children with Small Airway Obstruction Based on CT Features of Deep Learning.

Computational and mathematical methods in medicine Dec 21, 2021
This study was aimed at exploring the treatment of asthma children with small airway obstruction in CT imaging features of deep learning and glucocorticoid. A total of 145 patients meeting the requirements in hospital were included in this study, and...
Tomography, X-Ray Computed Female Asthma Humans Airway Obstruction Computational Biology Algorithms Child, Preschool Fractional Exhaled Nitric Oxide Testing Child Deep Learning Male Lung Glucocorticoids Adolescent
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Predictive models for personalized asthma attacks based on patient's biosignals and environmental factors: a systematic review.

BMC medical informatics and decision making Dec 9, 2021
BACKGROUND: Asthma is a chronic disease that exacerbates due to various risk factors, including the patient's biosignals and environmental conditions. It is affecting on average 7% of the world population. Preventing an asthma attack is the main chal...
Asthma Child Machine Learning Support Vector Machine Humans Risk Factors Adult
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Identification of asthma control factor in clinical notes using a hybrid deep learning model.

BMC medical informatics and decision making Nov 9, 2021
BACKGROUND: There are significant variabilities in guideline-concordant documentation in asthma care. However, assessing clinician's documentation is not feasible using only structured data but requires labor-intensive chart review of electronic heal...
Humans Algorithms Asthma Deep Learning Electronic Health Records Natural Language Processing
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