This paper is in the following e-collection/theme issue:

Machine Learning (1501) Clinical Informatics (1050) Clinical Information and Decision Making (1434) Decision Support for Health Professionals (1210) Electronic Health Records (1068) Natural Language Processing (706) Infectious Diseases (non-STD/STI) (1592)

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

Authors of this article:

Corrado Lanera1 Author Orcid Image ;   Paola Berchialla2 Author Orcid Image ;   Ileana Baldi1 Author Orcid Image ;   Giulia Lorenzoni1 Author Orcid Image ;   Lara Tramontan3 Author Orcid Image ;   Antonio Scamarcia4 Author Orcid Image ;   Luigi Cantarutti4 Author Orcid Image ;   Carlo Giaquinto5 Author Orcid Image ;   Dario Gregori1 Author Orcid Image
Article Authors Cited by (7) Tweetations (3) Metrics

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