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

Front Neurosci. 2019 Aug 13:13:850. doi: 10.3389/fnins.2019.00850. eCollection 2019.

¹ Eriksholm Research Centre, Oticon A/S, Snekkersten, Denmark.
² Department of Computer Science, University of Milan, Milan, Italy.
³ The Ear Institute, Brain Institute, UCL, London, United Kingdom.
⁴ Department of Computer Science, City University of London, London, United Kingdom.
⁵ Guy's and St. Thomas' NHS Foundation Trust, London, United Kingdom.
⁶ Department of Otolaryngology, National & Kapodistrian University of Athens, Athens, Greece.
⁷ ATC Innovation Lab, Athens, Greece.
⁸ Athens Medical Group, Athens, Greece.

No abstract available

Keywords: evidence-based; hearing aids; hearing loss; longitudinal data; public health policy; real-world data; sound exposure.