Last Posted: Jul 20, 2021
- Identifying Louisiana Communities at the Crossroads of Environmental and Social Vulnerability, COVID-19, and Asthma
A Bakshi et al, MEDRXIV, July 19, 2021
- Artificial Intelligence and Machine Learning in Chronic Airway Diseases: Focus on Asthma and Chronic Obstructive Pulmonary Disease.
Feng Yinhe et al. International journal of medical sciences 2021 18(13) 2871-2889
- Does machine learning have a role in the prediction of asthma in children?
Patel Dimpalben et al. Paediatric respiratory reviews 2021
- Discovery of Depression-Associated Factors From a Nationwide Population-Based Survey: Epidemiological Study Using Machine Learning and Network Analysis.
Nam Sang Min et al. Journal of medical Internet research 2021 23(6) e27344
- Developing a short-term prediction model for asthma exacerbations from Swedish primary care patients' data using machine learning - Based on the ARCTIC study.
Lisspers Karin et al. Respiratory medicine 2021 185106483
- Effects of air pollution in Spatio-temporal modeling of asthma-prone areas using a machine learning model.
Razavi-Termeh Seyed Vahid et al. Environmental research 2021 111344
- Physician and patient perspectives on the management of hereditary angioedema: a survey on treatment burden and needs.
Riedl Marc A et al. Allergy and asthma proceedings 2021 42(3) S17-S25
- Genetic Determinants of Poor Response to Treatment in Severe Asthma.
Figueiredo Ricardo G et al. International journal of molecular sciences 2021 22(8)
- Assessment and management of disease burden and quality of life in patients with hereditary angioedema: a consensus report.
Bork Konrad et al. Allergy, asthma, and clinical immunology : official journal of the Canadian Society of Allergy and Clinical Immunology 2021 17(1) 40
- Leveraging unstructured data to identify hereditary angioedema patients in electronic medical records.
Brouwer Emily S et al. Allergy, asthma, and clinical immunology : official journal of the Canadian Society of Allergy and Clinical Immunology 2021 17(1) 41
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Disclaimer: Articles listed in the Public Health Genomics and Precision Health Knowledge Base are selected by the CDC Office of Public Health Genomics to provide current awareness of the literature and news. Inclusion in the update does not necessarily represent the views of the Centers for Disease Control and Prevention nor does it imply endorsement of the article's methods or findings. CDC and DHHS assume no responsibility for the factual accuracy of the items presented. The selection, omission, or content of items does not imply any endorsement or other position taken by CDC or DHHS. Opinion, findings and conclusions expressed by the original authors of items included in the update, or persons quoted therein, are strictly their own and are in no way meant to represent the opinion or views of CDC or DHHS. References to publications, news sources, and non-CDC Websites are provided solely for informational purposes and do not imply endorsement by CDC or DHHS.