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Fully Synthetic Longitudinal Real-World Data From Hearing Aid Wearers for Public Health Policy Modeling

Christensen, J. H., Pontoppidan, N. H., Bossing, R., Anisetti, M., Bamiou, D-E., Spanoudakis, G. ORCID: 0000-0002-0037-2600, Murdin, L., Bibas, T., Kikidiks, D., Dimakopoulos, N., Giotis, G. and Ecomomou, A. (2019). Fully Synthetic Longitudinal Real-World Data From Hearing Aid Wearers for Public Health Policy Modeling. Frontiers in Neuroscience, 13, 850.. doi: 10.3389/fnins.2019.00850

Publication Type: Article
Publisher Keywords: real-world data, longitudinal data, hearing aids, public health policy, evidence-based, hearing loss, sound exposure
Departments: School of Mathematics, Computer Science & Engineering > Computer Science
URI: http://openaccess.city.ac.uk/id/eprint/22981
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