Cough
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Last Posted: Jun 05, 2024
- Exacerbation predictive modelling using real-world data from the myCOPD app.
Henry M G Glyde et al. Heliyon 2024 10(10) e31201 - Infodemiology of Influenza-like Illness: Utilizing Google Trends' Big Data for Epidemic Surveillance.
Dong-Her Shih et al. J Clin Med 2024 13(7) - Feasibility and Utility of a Smartphone Application-Based Longitudinal Cough Monitoring in Chronic Cough Patients in a Real-World Setting.
Seung-Eun Lee et al. Lung 2023 - Comparison of logistic regression with regularized machine learning methods for the prediction of tuberculosis disease in people living with HIV: cross-sectional hospital- based study in Kisumu County, Kenya.
James Orwa et al. Res Sq 2023 - 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 - A new diagnostic method for chronic obstructive pulmonary disease using the photoplethysmography signal and hybrid artificial intelligence.
Engin Melekoglu et al. PeerJ Comput Sci 2023 8e1188 - Retrospective analysis of patients with severe combined immunodeficiency and alternative diagnostic criteria: A 20-year single centre experience.
Sevim Busra Korkmaz et al. Int J Immunogenet 2023 - 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 - Benchmarking machine learning approaches to predict radiation-induced toxicities in lung cancer patients.
Francisco J Núñez-Benjumea et al. Clin Transl Radiat Oncol 2023 41100640 - Detecting acute respiratory diseases in the pediatric population using cough sound features and machine learning: A systematic review.
Roneel V Sharan et al. Int J Med Inform 2023 176105093
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About HLBS-PopOmics
HLBS-PopOmics is an online, continuously updated, searchable database of published scientific literature, CDC and NIH resources, and other materials that address the translation of genomic and other precision health discoveries into improved health care and prevention related to Heart and Vascular Diseases(H), Lung Diseases(L), Blood Diseases(B), and Sleep Disorders(S)...more
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Site Citation:
Mensah GA, Yu W, Barfield WL, Clyne M, Engelgau MM, Khoury MJ. HLBS-PopOmics: an online knowledge base to accelerate dissemination and implementation of research advances in population genomics to reduce the burden of heart, lung, blood, and sleep disorders. Genet Med. 2018 Sep 10. doi: 10.1038/s41436-018-0118-1
Disclaimer: Articles listed in the Public Health Knowledge Base are selected by Public Health Genomics Branch 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.
- Page last reviewed:Feb 1, 2024
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