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, Italy

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

3 Arsenàl.IT, Treviso, Italy

4 Società Servizi Telematici, Pedianet, Padova, Italy

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

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, 35121
  • Italy
  • Phone: 39 049-827-5384
  • Fax: 39 049-827-5407
  • Email: dario.gregori@unipd.it