AIMC Topic: Asthma

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Interpreting patient-Specific risk prediction using contextual decomposition of BiLSTMs: application to children with asthma.

BMC medical informatics and decision making Nov 8, 2019
BACKGROUND: Predictive modeling with longitudinal electronic health record (EHR) data offers great promise for accelerating personalized medicine and better informs clinical decision-making. Recently, deep learning models have achieved state-of-the-a...
Humans Algorithms Deep Learning Child, Preschool Child Logistic Models Predictive Value of Tests Prognosis Electronic Health Records Clinical Decision-Making Asthma Risk Assessment
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A comparative study of machine learning classifiers for risk prediction of asthma disease.

Photodiagnosis and photodynamic therapy Oct 12, 2019
Asthma is a chronic disease characterized by wheezing, chest tightening and difficulty in breathing due to inflammation of lung airways. Early risk prediction of asthma is crucial for proper and effective management. This study presents the use of ma...
Spectrum Analysis, Raman Support Vector Machine Predictive Value of Tests Adult Asthma Male Middle Aged Case-Control Studies Humans Neural Networks, Computer Machine Learning Female Aged
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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...
Humans Machine Learning Retrospective Studies Female Risk Factors Longitudinal Studies Models, Biological Risk Assessment Early Diagnosis Adult Case-Control Studies Administrative Claims, Healthcare Asthma Big Data Florida Male ROC Curve Middle Aged Socioeconomic Factors
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Fast and accurate reconstruction of human lung gas MRI with deep learning.

Magnetic resonance in medicine Jul 19, 2019
PURPOSE: To fast and accurately reconstruct human lung gas MRI from highly undersampled k-space using deep learning.
Protons Xenon Isotopes Inflammation Magnetic Resonance Imaging Solitary Pulmonary Nodule Tuberculosis, Pulmonary Middle Aged Healthy Volunteers Smoking Lung Humans Respiration Deep Learning Algorithms Signal-To-Noise Ratio Imaging, Three-Dimensional Prospective Studies Adult Bronchiectasis Image Processing, Computer-Assisted Retrospective Studies Pulmonary Disease, Chronic Obstructive Fourier Analysis Female Asthma Reproducibility of Results Male Aged Young Adult
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Predicting asthma attacks in primary care: protocol for developing a machine learning-based prediction model.

BMJ open Jul 9, 2019
INTRODUCTION: Asthma is a long-term condition with rapid onset worsening of symptoms ('attacks') which can be unpredictable and may prove fatal. Models predicting asthma attacks require high sensitivity to minimise mortality risk, and high specificit...
Hospitalization Asthma Risk Assessment Primary Health Care Support Vector Machine Humans Machine Learning Emergency Service, Hospital Bayes Theorem Symptom Flare Up Scotland Clinical Decision Rules
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Using machine learning to examine the relationship between asthma and absenteeism.

Environmental monitoring and assessment Jun 28, 2019
In this study, we found that machine learning was able to effectively estimate student learning outcomes geo-spatially across all the campuses in a large, urban, independent school district. The machine learning showed that key factors in estimating ...
Academic Success Absenteeism Adolescent Child Schools Female Texas Humans Environmental Health Asthma Machine Learning Male Students
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Diagnostic value of spirometry vs impulse oscillometry: A comparative study in children with sickle cell disease.

Pediatric pulmonology Jun 18, 2019
BACKGROUND: Spirometry is conventionally used to diagnose airway diseases in children with sickle cell disease (C-SCD). However, spirometry is difficult for younger children to perform, is effort dependent, and it provides limited information on resp...
Humans Machine Learning Retrospective Studies Female Asthma Male Lung Case-Control Studies Bronchodilator Agents Oscillometry Anemia, Sickle Cell Respiratory Function Tests Spirometry Respiratory Mechanics Adolescent Vital Capacity Child, Preschool Child ROC Curve
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Deep learning facilitates the diagnosis of adult asthma.

Allergology international : official journal of the Japanese Society of Allergology May 30, 2019
BACKGROUND: We explored whether the use of deep learning to model combinations of symptom-physical signs and objective tests, such as lung function tests and the bronchial challenge test, would improve model performance in predicting the initial diag...
Humans Neural Networks, Computer Artificial Intelligence Algorithms Logistic Models Models, Theoretical Support Vector Machine Female Asthma Male Deep Learning ROC Curve
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An ensemble learning method for asthma control level detection with leveraging medical knowledge-based classifier and supervised learning.

Journal of medical systems Apr 26, 2019
Approximately 300 million people are afflicted with asthma around the world, with the estimated death rate of 250,000 cases, indicating the significance of this disease. If not treated, it can turn into a serious public health problem. The best metho...
Respiratory Function Tests Anti-Asthmatic Agents Bronchodilator Agents Environment Severity of Illness Index Genetic Predisposition to Disease Socioeconomic Factors Supervised Machine Learning Iran Humans Algorithms Biomarkers Asthma
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Novel pediatric-automated respiratory score using physiologic data and machine learning in asthma.

Pediatric pulmonology Apr 21, 2019
OBJECTIVES: Manual clinical scoring systems are the current standard used for acute asthma clinical care pathways. No automated system exists that assesses disease severity, time course, and treatment impact in pediatric acute severe asthma exacerbat...
Oximetry Child, Preschool Child Machine Learning Heart Rate Humans Female Respiratory Rate Asthma Male Severity of Illness Index
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