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

Machine Learning (772) Clinical Informatics (400) Clinical Information and Decision Making (688) Decision Support for Health Professionals (566) Electronic Health Records (618) Natural Language Processing (380) Infectious Diseases (non-STD/STI) (1072)

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 Lanera 1 Author Orcid Image ;   Paola Berchialla 2 Author Orcid Image ;   Ileana Baldi 1 Author Orcid Image ;   Giulia Lorenzoni 1 Author Orcid Image ;   Lara Tramontan 3 Author Orcid Image ;   Antonio Scamarcia 4 Author Orcid Image ;   Luigi Cantarutti 4 Author Orcid Image ;   Carlo Giaquinto 5 Author Orcid Image ;   Dario Gregori 1 Author Orcid Image
Article Authors Cited by (1) Tweetations (4) Metrics

Journals

  1. Rajula H, Verlato G, Manchia M, Antonucci N, Fanos V. Comparison of Conventional Statistical Methods with Machine Learning in Medicine: Diagnosis, Drug Development, and Treatment. Medicina 2020;56(9):455 View