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

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
  2. Agrawal S, Chowdhary A, Agarwala S, Mayya V, Kamath S. S. Content-based medical image retrieval system for lung diseases using deep CNNs. International Journal of Information Technology 2022;14(7):3619 View
  3. Lanera C, Baldi I, Francavilla A, Barbieri E, Tramontan L, Scamarcia A, Cantarutti L, Giaquinto C, Gregori D. A Deep Learning Approach to Estimate the Incidence of Infectious Disease Cases for Routinely Collected Ambulatory Records: The Example of Varicella-Zoster. International Journal of Environmental Research and Public Health 2022;19(10):5959 View
  4. Uzun Ozsahin D, Mustapha M, Uzun B, Duwa B, Ozsahin I. Computer-Aided Detection and Classification of Monkeypox and Chickenpox Lesion in Human Subjects Using Deep Learning Framework. Diagnostics 2023;13(2):292 View
  5. Bottrighi A, Pennisi M. Exploring the State of Machine Learning and Deep Learning in Medicine: A Survey of the Italian Research Community. Information 2023;14(9):513 View
  6. Lanera C, Lorenzoni G, Barbieri E, Piras G, Magge A, Weissenbacher D, Donà D, Cantarutti L, Gonzalez-Hernandez G, Giaquinto C, Gregori D. Monitoring the Epidemiology of Otitis Using Free-Text Pediatric Medical Notes: A Deep Learning Approach. Journal of Personalized Medicine 2023;14(1):28 View