Mrs Erika Gavillet

Research Highlights

1. Heasman, P., Ritchie, M., Asuni, A., Gavillet, E., Simonsen, J., & Nyvad, B. (2017). Gingival recession and root caries in the ageing population: a critical evaluation of treatments. Journal of Clinical Periodontology, 44, S178-S193.

   https://doi.org/10.1111/jcpe.12676, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa38844
2. Mackay, M., Mahlaba, H., Gavillet, E., & Whittaker, R. (2017). Seizure self-prediction: Myth or missed opportunity?. Seizure, 51, 180-185.

   https://doi.org/10.1016/j.seizure.2017.08.011, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa38845

   https://doi.org/10.1016/j.seizure.2017.08.011
3. Kosac, A., Gavillet, E., & Whittaker, R. (2013). Neurophysiological testing in congenital myasthenic syndromes: A systematic review of published normal data. Muscle & Nerve, 48(5), 711-715.

   https://doi.org/10.1002/mus.23929, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa38846

   http://onlinelibrary.wiley.com/doi/10.1002/mus.23929/abstract
4. Gavillet, E. (2011). The 'just do it' approach to customer service development - a case study. College and Research Libraries News, 72(4), 229-236.

   SU Repository: https://cronfa.swan.ac.uk/Record/cronfa38847

   http://crln.acrl.org/content/72/4/229.full
5. Gavillet, E. (2011). Short cuts to satisfied customers. Library and Information Gazette, 2011(Sept), 11

   SU Repository: https://cronfa.swan.ac.uk/Record/cronfa38848

All Research

• PMIM102 Scientific Computing and Health Care

  The module aims to raise the awareness of students about scientific computing in the field of health data science. It focuses on basic software development workflows, tools, and skills that health data scientists most often employ. Students will also learn about the professional context within which health data scientists operate. This is a core / compulsory module and worth 20 Masters level credits.