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

Formative Evaluation of Digital Health Interventions (3268) Clinical Information and Decision Making (1934) Machine Learning (2094) Artificial Intelligence (2161) Surveillance Systems (516) Clinical Informatics (1335) Digital Health, Telehealth and e-Innovation in Clinical Settings (561) Infectious Diseases (non-STD/STI) (1728)

Published on in Vol 8 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/52412, first published .
Novel Approach for Detecting Respiratory Syncytial Virus in Pediatric Patients Using Machine Learning Models Based on Patient-Reported Symptoms: Model Development and Validation Study

Novel Approach for Detecting Respiratory Syncytial Virus in Pediatric Patients Using Machine Learning Models Based on Patient-Reported Symptoms: Model Development and Validation Study

Novel Approach for Detecting Respiratory Syncytial Virus in Pediatric Patients Using Machine Learning Models Based on Patient-Reported Symptoms: Model Development and Validation Study

Authors of this article:

Shota Kawamoto1 Author Orcid Image ;   Yoshihiko Morikawa1 Author Orcid Image ;   Naohisa Yahagi1 Author Orcid Image
Article Authors Cited by (4) Tweetations (4) Metrics

Journals

  1. Kawamoto S, Morikawa Y, Yahagi N. Development and Validation of a Temporal Progression-based Risk Assessment Tool for Respiratory Syncytial Virus Infection in Infants. Pediatric Infectious Disease Journal 2025;44(12):1145 View
  2. Livieratos A, Kagadis G, Gogos C, Akinosoglou K. AI Methods Tailored to Influenza, RSV, HIV, and SARS-CoV-2: A Focused Review. Pathogens 2025;14(8):748 View
  3. Kawamoto S, Morikawa Y, Yahagi N. Reducing invasive RSV diagnostic testing with machine learning: A retrospective validation study. Journal of Infection and Public Health 2025;18(12):102967 View
  4. Iannone S, Kaur A, Johnson K. Artificial Intelligence in Outpatient Primary Care: A Scoping Review on Applications, Challenges, and Future Directions. Journal of General Internal Medicine 2025 View