AIMC Topic: Asthma
Clear Filters Showing 151 to 160 of 161 articles
Childhood Asthma: Advances Using Machine Learning and Mechanistic Studies.
American journal of respiratory and critical care medicine
Feb 15, 2019
A paradigm shift brought by the recognition that childhood asthma is an aggregated diagnosis that comprises several different endotypes underpinned by different pathophysiology, coupled with advances in understanding potentially important causal mech...
Analysis of the advantages and disadvantages in application of oxygen-driven aerosol and aerosol inhalation by air compressor for the pediatric asthma.
Pakistan journal of pharmaceutical sciences
Nov 1, 2018
Present study is done to analyze the advantages and disadvantages in application of oxygen-driven aerosol and aerosol inhalation by air compressor for the pediatric asthma. A total of 180 patients with pediatric bronchial asthma were randomized into ...
A telehealth system for automated diagnosis of asthma and chronical obstructive pulmonary disease.
Journal of the American Medical Informatics Association : JAMIA
Sep 1, 2018
This paper presents the development and real-time testing of an automated expert diagnostic telehealth system for the diagnosis of 2 respiratory diseases, asthma and Chronic Obstructive Pulmonary Disease (COPD). The system utilizes Android, Java, MAT...
Discovering Pediatric Asthma Phenotypes on the Basis of Response to Controller Medication Using Machine Learning.
Annals of the American Thoracic Society
Jan 1, 2018
RATIONALE: Pediatric asthma has variable underlying inflammation and symptom control. Approaches to addressing this heterogeneity, such as clustering methods to find phenotypes and predict outcomes, have been investigated. However, clustering based o...
Increasing our knowledge base of asthma.
Annals of allergy, asthma & immunology : official publication of the American College of Allergy, Asthma, & Immunology
Dec 1, 2017
Finding Asthma: Building a Foundation for Care and Discovery.
American journal of respiratory and critical care medicine
Aug 15, 2017
Application of a Natural Language Processing Algorithm to Asthma Ascertainment. An Automated Chart Review.
American journal of respiratory and critical care medicine
Aug 15, 2017
RATIONALE: Difficulty of asthma ascertainment and its associated methodologic heterogeneity have created significant barriers to asthma care and research.
Unintended Consequences of Machine Learning in Medicine.
JAMA
Aug 8, 2017
A mobile platform for automated screening of asthma and chronic obstructive pulmonary disease.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Aug 1, 2016
Chronic Obstructive Pulmonary Disease (COPD) and asthma each represent a large proportion of the global disease burden; COPD is the third leading cause of death worldwide and asthma is one of the most prevalent chronic diseases, afflicting over 300 m...
Automatic Wheezing Detection Based on Signal Processing of Spectrogram and Back-Propagation Neural Network.
Journal of healthcare engineering
Jan 1, 2015
Wheezing is a common clinical symptom in patients with obstructive pulmonary diseases such as asthma. Automatic wheezing detection offers an objective and accurate means for identifying wheezing lung sounds, helping physicians in the diagnosis, long-...
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