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
Journals
- 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
- 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
- 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
- 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