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Public Health Genomics and Precision Health Knowledge Base (v9.0)
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Precision Health Database|Search|Public Health Genomics and Precision Health Knowledge Base (PHGKB)
Last data update: Apr 18, 2024
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Multivariate analysis and data mining help predict asthma exacerbations.
Stefan Mihaicuta et al. J Asthma 2023 1-16
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A smartphone-based application for cough counting in patients with acute asthma exacerbation.
Ji-Su Shim et al. J Thorac Dis 2023 15(7) 4053-4065
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Machine learning for prediction of asthma exacerbations among asthmatic patients: a systematic review and meta-analysis.
Shiqiu Xiong et al. BMC Pulm Med 2023 23(1) 278
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Using Machine-Learning to Predict Sleep-Disordered Breathing Diagnosis From Medical Comorbidities and Craniofacial Features.
Stephen Cokim et al. Cureus 2023 15(5) e39798
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Prediction of mortality risk and duration of hospitalization of COVID-19 patients with chronic comorbidities based on machine learning algorithms.
Parastoo Amiri et al. Digit Health 2023 920552076231170493
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Impact of Regional Mobility on Air Quality during COVID-19 Lockdown in Mississippi, USA Using Machine Learning.
Francis Tuluri et al. Int J Environ Res Public Health 2023 20(11)
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Home monitoring in asthma: towards digital twins.
David Drummond et al. Curr Opin Pulm Med 2023
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Prediction of persistent chronic cough in patients with chronic cough using machine learning.
Wansu Chen et al. ERJ open research 2023 9(2)
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Use of digital measurement of medication adherence and lung function to guide the management of uncontrolled asthma (INCA Sun): a multicentre, single-blinded, randomised clinical trial
EM Hale et al, Lancet Resp Medicine, March 21, 2023
Development and validation of a respiratory-responsive vocal biomarker-based tool for generalizable detection of respiratory impairment: independent case-control studies in multiple respiratory conditions including asthma, chronic obstructive pulmonary disease, and COVID-19.
Savneet Kaur et al. Journal of medical Internet research 2023
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Artificial intelligence based software facilitates spirometry quality control in asthma and COPD clinical trials.
Eva Topole et al. ERJ open research 2023 9(1)
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Relationship of long-term air pollution exposure with asthma and rhinitis in Italy: an innovative multipollutant approach.
Sara Maio et al. Environmental research 2023 115455
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EAACI Guidelines on environmental science in allergic diseases and asthma - leveraging artificial intelligence and machine learning to develop a causality model in exposomics.
Mohamed H Shamji et al. Allergy 2023
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Diagnostic performance of a machine-learning algorithm (Asthma/COPD Differentiation Classification; AC/DC) tool versus primary care physicians and pulmonologists in asthma, COPD and ACO.
Janwillem W H Kocks et al. The journal of allergy and clinical immunology. In practice 2023
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An accurate deep learning model for wheezing in children using real world data
BJ Kim et al, Sci Reports, December 28, 2022
Children's views on artificial intelligence and digital twins for the daily management of their asthma: a mixed-method study.
Gonsard Apolline et al. European journal of pediatrics 2022
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The Social Vulnerability Metric (SVM) As A New Tool for Public Health.
Saulsberry Loren et al. Health services research 2022
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Measurement of Exhaled Volatile Organic Compounds as a Biomarker for Personalised Medicine: Assessment of Short-Term Repeatability in Severe Asthma
A Azim et al, J Per Medicine, September 29, 2022
Artificial intelligence to differentiate asthma from COPD in medico-administrative databases.
Joumaa Hassan et al. BMC pulmonary medicine 2022 22(1) 357
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A Technical Performance Study and Proposed Systematic and Comprehensive Evaluation of an ML-based CDS Solution for Pediatric Asthma.
Overgaard Shauna M et al. AMIA ... Annual Symposium proceedings. AMIA Symposium 2022 202225-35
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Pneumonia Classification from X-ray Images with Inception-V3 and Convolutional Neural Network.
Mujahid Muhammad et al. Diagnostics (Basel, Switzerland) 2022 12(5)
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Identifying asthma patients at high risk of exacerbation in a routine visit: A machine learning model.
Jiao Tianze et al. Respiratory medicine 2022 198106866
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Conversational artificial intelligence: A new approach for increasing influenza vaccination rates in children with asthma?
Krupp K et al. Vaccine 2022
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Implementation of prognostic machine learning algorithms in paediatric chronic respiratory conditions: a scoping review.
Filipow Nicole et al. BMJ open respiratory research 2022 9(1)
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A Framework for Augmented Intelligence in Allergy and Immunology Practice and Research-A Work Group Report of the AAAAI Health Informatics, Technology and Education Committee.
Khoury Paneez et al. The journal of allergy and clinical immunology. In practice 2022
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A Roadmap for Boosting Model Generalizability for Predicting Hospital Encounters for Asthma.
Luo Gang et al. JMIR medical informatics 2022 10(3) e33044
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Automatically Explaining Machine Learning Predictions on Severe Chronic Obstructive Pulmonary Disease Exacerbations: Retrospective Cohort Study.
Zeng Siyang et al. JMIR medical informatics 2022 10(2) e33043
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A scoping review of asthma and machine learning.
Khanam Ulfat A et al. The Journal of asthma : official journal of the Association for the Care of Asthma 2022 1-19
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Assessment of medical management in Coronary Type 2 Diabetic patients with previous percutaneous coronary intervention in Spain: A retrospective analysis of electronic health records using Natural Language Processing.
González-Juanatey Carlos et al. PloS one 2022 17(2) e0263277
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Machine learning: A modern approach to pediatric asthma.
Cilluffo Giovanna et al. Pediatric allergy and immunology : official publication of the European Society of Pediatric Allergy and Immunology 2022 33 Suppl 2734-37
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Page last reviewed:
Feb 1, 2024
Page last updated:
Apr 18, 2024
Content source:
Public Health Genomics Branch in the Division of Blood Disorders and Public Health Genomics
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National Center on Birth Defects and Developmental Disabilities
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