Published on in Vol 8, No 5 (2020): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/14330, first published .
Use of Machine Learning Techniques for Case-Detection of Varicella Zoster Using Routinely Collected Textual Ambulatory Records: Pilot Observational Study

Use of Machine Learning Techniques for Case-Detection of Varicella Zoster Using Routinely Collected Textual Ambulatory Records: Pilot Observational Study

Use of Machine Learning Techniques for Case-Detection of Varicella Zoster Using Routinely Collected Textual Ambulatory Records: Pilot Observational Study

Corrado Lanera 1, MSc, PhD;  Paola Berchialla 2, MSc, PhD;  Ileana Baldi 1, MSc, PhD;  Giulia Lorenzoni 1, MA, PhD;  Lara Tramontan 3, PhD;  Antonio Scamarcia 4, MD;  Luigi Cantarutti 4, MD;  Carlo Giaquinto 5, PhD;  Dario Gregori 1, MA, PhD

1 Department of Cardiac Thoracic Vascular Sciences and Public Health, University of Padova, Unit of Biostatistics, Epidemiology and Public Health, Padova , IT

2 Department of Clinical and Biological Science, University of Turin , Torino , IT

3 Arsenàl.IT , Treviso , IT

4 Società Servizi Telematici, Pedianet , Padova , IT

5 Department of Women's and Children's Health, University of Padova , Padova , IT

Corresponding Author:

  • Dario Gregori, MA, PhD
  • Department of Cardiac Thoracic Vascular Sciences and Public Health
  • University of Padova
  • Unit of Biostatistics, Epidemiology and Public Health
  • Via Leonardo Loredan 18
  • Padova
  • IT
  • Phone: 39 049-827-5384
  • Email: dario.gregori@unipd.it