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](https://asset.jmir.pub/assets/dc104c88ceb4ded1d25740e8258a7511.png 480w,https://asset.jmir.pub/assets/dc104c88ceb4ded1d25740e8258a7511.png 960w,https://asset.jmir.pub/assets/dc104c88ceb4ded1d25740e8258a7511.png 1920w,https://asset.jmir.pub/assets/dc104c88ceb4ded1d25740e8258a7511.png 2500w)
1 Graduate School of Media and Governance, Keio University, Fujisawa, Japan