AIMC Topic: Asthma
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SPIN: sex-specific and pathway-based interpretable neural network for sexual dimorphism analysis.
Briefings in bioinformatics
May 23, 2024
Sexual dimorphism in prevalence, severity and genetic susceptibility exists for most common diseases. However, most genetic and clinical outcome studies are designed in sex-combined framework considering sex as a covariate. Few sex-specific studies h...
Deep Learning-based Time-to-event Analysis of Depression and Asthma using the All of Us Research Program.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Jan 1, 2024
While there is a growing recognition of the association between depression and asthma, few studies have leveraged deep learning-based (DL-based) models in a retrospective cohort study with a large sample size. We analyzed the association between depr...
Machine learning approaches for asthma disease prediction among adults in Sri Lanka.
Health informatics journal
Jan 1, 2024
Addressing the challenge of cost-effective asthma diagnosis amidst diverse symptom patterns among patients, this study aims to develop a machine learning-based asthma prediction tool for self-detection of asthma. Data from 6,665 participants in the...
[CLINICAL APPLICATION OF ARTIFICIAL INTELLIGENCE ON AUXILIARY DIAGNOSIS OF ADULT ASTHMA].
Arerugi = [Allergy]
Jan 1, 2024
Importance of GWAS Risk Loci and Clinical Data in Predicting Asthma Using Machine-learning Approaches.
Combinatorial chemistry & high throughput screening
Jan 1, 2024
INTRODUCTION: To understand the risk factors of asthma, we combined genome-wide association study (GWAS) risk loci and clinical data in predicting asthma using machine-learning approaches.
Sputum Neutrophil Gelatinase-Associated Lipocalin as a Biomarker in Asthma-COPD Overlap.
The Journal of the Association of Physicians of India
Sep 1, 2023
BACKGROUND: Asthma COPD overlap (ACO) is a consensus-based phenotype having characteristics of both COPD and asthma. Distinguishing ACO from other diseases is even more important as it is related to low health-related quality of life, augmented exace...
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).
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...
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 ...
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...
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