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

#xInfectiousDiseases (28) Machine Learning (1465) Artificial Intelligence (1371) Infectious Diseases (non-STD/STI) (1575) Research Infrastructures and Registries (59) Secondary Use of Clinical Data for Research and Surveillance (366) Tools, Programs and Algorithms (266) Clinical Informatics (1022) Clinical Information and Decision Making (1407) #xHealthInformatics (11)
Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/25560, first published .
Machine Learning for Risk Group Identification and User Data Collection in a Herpes Simplex Virus Patient Registry: Algorithm Development and Validation Study

Machine Learning for Risk Group Identification and User Data Collection in a Herpes Simplex Virus Patient Registry: Algorithm Development and Validation Study

Machine Learning for Risk Group Identification and User Data Collection in a Herpes Simplex Virus Patient Registry: Algorithm Development and Validation Study

Authors of this article:

Svitlana Surodina1, 2 Author Orcid Image ;   Ching Lam3 Author Orcid Image ;   Svetislav Grbich1 Author Orcid Image ;   Madison Milne-Ives4 Author Orcid Image ;   Michelle van Velthoven5 Author Orcid Image ;   Edward Meinert4, 6 Author Orcid Image
Article Authors Cited by (6) Tweetations (6) Metrics

Journals

  1. Nowell W. Peer Review of “Machine Learning for Risk Group Identification and User Data Collection in a Herpes Simplex Virus Patient Registry: Algorithm Development and Validation Study”. JMIRx Med 2021;2(2):e28919 View
  2. Surodina S, Lam C, Grbich S, Milne-Ives M, van Velthoven M, Meinert E. Authors’ Response to Peer Reviews of “Machine Learning for Risk Group Identification and User Data Collection in a Herpes Simplex Virus Patient Registry: Algorithm Development and Validation Study”. JMIRx Med 2021;2(2):e28917 View
  3. Benítez Andrades J. Peer Review of “Machine Learning for Risk Group Identification and User Data Collection in a Herpes Simplex Virus Patient Registry: Algorithm Development and Validation Study”. JMIRx Med 2021;2(2):e28922 View
  4. Fernandes G, Choi A, Schauer J, Pfammatter A, Spring B, Darwiche A, Alshurafa N. An Explainable Artificial Intelligence Software Tool for Weight Management Experts (PRIMO): Mixed Methods Study. Journal of Medical Internet Research 2023;25:e42047 View
  5. Tiwari A, Gupta N, Singla D, Ranjan Swain J, Gupta R, Mehta D, Kumar S. Artificial Intelligence’s Use in the Diagnosis of Mouth Ulcers: A Systematic Review. Cureus 2023 View
  6. Hussain M, Gupta G, Samuel V, Almalki W, Kazmi I, Alzarea S, Saleem S, Khan R, Altwaijry N, Patel S, Patel A, Singh S, Dua K. Immunopathology of herpes simplex virus‐associated neuroinflammation: Unveiling the mysteries. Reviews in Medical Virology 2024;34(1) View