AIMC Topic: Asthma

Clear Filters Showing 141 to 150 of 161 articles

Perceptions of Artificial Intelligence-Assisted Care for Children With a Respiratory Complaint.

Hospital pediatrics Sep 1, 2023
OBJECTIVES: To evaluate caregiver opinions on the use of artificial intelligence (AI)-assisted medical decision-making for children with a respiratory complaint in the emergency department (ED).
Asthma Child Emergency Service, Hospital Critical Care Humans Artificial Intelligence Clinical Decision-Making
View on PubMed DOI

Developments in respiratory self-management interventions over the last two decades.

Chronic respiratory disease Jan 1, 2023
This paper describes developments in the fields of asthma and COPD self-management interventions (SMIs) over the last two decades and discusses future directions. Evidence around SMIs has exponentially grown. Efficacy on group level is convincing and...
Asthma Humans Pulmonary Disease, Chronic Obstructive Artificial Intelligence Self-Management Pandemics Self Care
View on PubMed DOI

Utilizing Deep Learning on Limited Mobile Speech Recordings for Detection of 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 Jul 1, 2022
Passive assessment of obstructive pulmonary disease has gained substantial interest over the past few years in the mobile and wearable computing communities. One of the promising approaches is speech-based pulmonary assessment wherein spontaneous or ...
Deep Learning Speech Hand Mental Recall Humans Asthma
View on PubMed DOI

Assessing socioeconomic bias in machine learning algorithms in health care: a case study of the HOUSES index.

Journal of the American Medical Informatics Association : JAMIA Jun 14, 2022
OBJECTIVE: Artificial intelligence (AI) models may propagate harmful biases in performance and hence negatively affect the underserved. We aimed to assess the degree to which data quality of electronic health records (EHRs) affected by inequities rel...
Humans Social Class Artificial Intelligence Machine Learning Child Bias Delivery of Health Care Asthma
View on PubMed DOI

Machine learning-driven identification of early-life air toxic combinations associated with childhood asthma outcomes.

The Journal of clinical investigation Nov 15, 2021
Air pollution is a well-known contributor to asthma. Air toxics are hazardous air pollutants that cause or may cause serious health effects. Although individual air toxics have been associated with asthma, only a limited number of studies have specif...
Machine Learning Female Risk Factors Asthma Humans Air Pollutants Acrylates Hydroquinones Ethyl Chloride Male Adolescent Child
View on PubMed DOI

Merged Affinity Network Association Clustering: Joint multi-omic/clinical clustering to identify disease endotypes.

Cell reports Apr 13, 2021
Although clinical and laboratory data have long been used to guide medical practice, this information is rarely integrated with multi-omic data to identify endotypes. We present Merged Affinity Network Association Clustering (MANAclust), a coding-fre...
Asthma Male Microbiota Middle Aged Allergens Proteomics Child, Preschool Case-Control Studies Atlases as Topic Epigenome Cluster Analysis Adolescent Nasal Cavity Child Unsupervised Machine Learning Humans Gene Expression Profiling Datasets as Topic Feces Benchmarking Precision Medicine Transcriptome Gene Expression Regulation Female Adult
View on PubMed DOI

High-dimensional profiling clusters asthma severity by lymphoid and non-lymphoid status.

Cell reports Apr 13, 2021
Clinical definitions of asthma fail to capture the heterogeneity of immune dysfunction in severe, treatment-refractory disease. Applying mass cytometry and machine learning to bronchoalveolar lavage (BAL) cells, we find that corticosteroid-resistant ...
Adrenal Cortex Hormones Anti-Asthmatic Agents Adaptive Immunity Immunologic Memory Gene Expression Regulation Interferon-gamma Bronchoalveolar Lavage Fluid Interleukin-7 Receptors, IgE Gene Expression Profiling Case-Control Studies Proteomics CD8-Positive T-Lymphocytes CD4-Positive T-Lymphocytes Signal Transduction Immunity, Innate Macrophages Asthma Severity of Illness Index Humans Machine Learning Interleukin-10
View on PubMed DOI

[Effect of moxa-cone moxibustion at lung's back- points and front- points on Th17/Treg balance in mice with asthma].

Zhongguo zhen jiu = Chinese acupuncture & moxibustion Nov 12, 2020
OBJECTIVE: To observe the effect of moxa-cone moxibustion at lung's back- points and front- points on the expression of helper T lymphocyte 17 (Th 17)/regulatory T lymphocyte (Treg) in mice with asthma, and to explore the possible mechanism of moxa-c...
Asthma T-Lymphocytes, Regulatory Mice Animals Th17 Cells Moxibustion Male Lung
View on PubMed DOI

Expert artificial intelligence-based natural language processing characterises childhood asthma.

BMJ open respiratory research Feb 1, 2020
INTRODUCTION: The lack of effective, consistent, reproducible and efficient asthma ascertainment methods results in inconsistent asthma cohorts and study results for clinical trials or other studies. We aimed to assess whether application of expert a...
Male Child Natural Language Processing Electronic Health Records Humans Reproducibility of Results Female Asthma Artificial Intelligence
View on PubMed DOI

Deep Q-learning for Predicting Asthma Attack with Considering Personalized Environmental Triggers' Risk Scores.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
The purpose of our present study was to develop a forecasting method that would help asthmatic individuals to take evasive action when the probability of an attack was at THEIR PERSONAL THRESHOLD levels. The results are encouraging. Risk factor analy...
Asthma Deep Learning Decision Making Probability Humans Risk
View on PubMed DOI
Popular Topics
Recent Journals