AIMC Topic: Asthma
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Natural Language Processing for Asthma Ascertainment in Different Practice Settings.
The journal of allergy and clinical immunology. In practice
Jun 19, 2017
BACKGROUND: We developed and validated NLP-PAC, a natural language processing (NLP) algorithm based on predetermined asthma criteria (PAC) for asthma ascertainment using electronic health records at Mayo Clinic.
Early Detection of Peak Demand Days of Chronic Respiratory Diseases Emergency Department Visits Using Artificial Neural Networks.
IEEE journal of biomedical and health informatics
Apr 26, 2017
Chronic respiratory diseases, mainly asthma and chronic obstructive pulmonary disease (COPD), affect the lives of people by limiting their activities in various aspects. Overcrowding of hospital emergency departments (EDs) due to respiratory diseases...
High-accuracy detection of airway obstruction in asthma using machine learning algorithms and forced oscillation measurements.
Computer methods and programs in biomedicine
Mar 28, 2017
BACKGROUND AND OBJECTIVES: The main pathologic feature of asthma is episodic airway obstruction. This is usually detected by spirometry and body plethysmography. These tests, however, require a high degree of collaboration and maximal effort on the p...
Analysis of correlation between pediatric asthma exacerbation and exposure to pollutant mixtures with association rule mining.
Artificial intelligence in medicine
Nov 25, 2016
OBJECTIVES: Traditional studies on effects of outdoor pollution on asthma have been criticized for questionable statistical validity and inefficacy in exploring the effects of multiple air pollutants, alone and in combination. Association rule mining...
Machine learning approaches to personalize early prediction of asthma exacerbations.
Annals of the New York Academy of Sciences
Sep 14, 2016
Patient telemonitoring results in an aggregation of significant amounts of information about patient disease trajectory. However, the potential use of this information for early prediction of exacerbations in adult asthma patients has not been system...
Telemedicine
Humans
Machine Learning
Algorithms
ROC Curve
Precision Medicine
Decision Support Systems, Clinical
Computational Biology
Self Care
Monitoring, Physiologic
Bayes Theorem
Prognosis
Asthma
Internet
Electronic Health Records
Disease Progression
Models, Biological
Adult
Severity of Illness Index
Combined Modality Therapy
Use of a Robotic Sampler (PIPER) for Evaluation of Particulate Matter Exposure and Eczema in Preschoolers.
International journal of environmental research and public health
Feb 19, 2016
While the association of eczema with asthma is well recognized, little research has focused on the potential role of inhalable exposures and eczema. While indoor air quality is important in the development of respiratory disease as children in the U....
Powerful Tests for Multi-Marker Association Analysis Using Ensemble Learning.
PloS one
Nov 30, 2015
Multi-marker approaches have received a lot of attention recently in genome wide association studies and can enhance power to detect new associations under certain conditions. Gene-, gene-set- and pathway-based association tests are increasingly bein...
Detecting Lung Diseases from Exhaled Aerosols: Non-Invasive Lung Diagnosis Using Fractal Analysis and SVM Classification.
PloS one
Sep 30, 2015
BACKGROUND: Each lung structure exhales a unique pattern of aerosols, which can be used to detect and monitor lung diseases non-invasively. The challenges are accurately interpreting the exhaled aerosol fingerprints and quantitatively correlating the...
Neuro-fuzzy classification of asthma and chronic obstructive pulmonary disease.
BMC medical informatics and decision making
Sep 11, 2015
BACKGROUND: This paper presents a system for classification of asthma and chronic obstructive pulmonary disease (COPD) based on fuzzy rules and the trained neural network.
Single-cell RNA sequencing reveals immunological link between house dust mite allergy and childhood asthma.
Scientific reports
May 14, 2025
Allergic asthma in children is typically associated with house dust mites (HDM) as the key allergen. Nevertheless, the diagnostic rate remains below 60% due to the absence of specific symptoms and diagnostic markers, which hinders the implementation ...
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