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

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

Frontiers in neuroscience

Jeppe H Christensen, Niels H Pontoppidan, Rikke Rossing, Marco Anisetti, Doris-Eva Bamiou, George Spanoudakis, Louisa Murdin, Thanos Bibas, Dimitris Kikidiks, Nikos Dimakopoulos, Giorgos Giotis, Apostolos Ecomomou

Affiliations

  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.

PMID: 31456658 PMCID: PMC6700226 DOI: 10.3389/fnins.2019.00850

[No abstract available.]

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

References

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  4. Cochrane Database Syst Rev. 2016 Aug 18;(8):CD010342 - PubMed
  5. Lancet. 2017 Dec 2;390(10111):2503-2515 - PubMed
  6. Lancet. 2017 Sep 16;390(10100):1211-1259 - PubMed
  7. BMJ Open. 2018 Feb 15;8(2):e020978 - PubMed
  8. Am J Audiol. 2018 Dec 6;27(4):594-603 - PubMed
  9. Am J Audiol. 2018 Nov 19;27(3S):493-502 - PubMed

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