WangSiQi1202/Pediatrics-DeepLearning: Towards accurate prediction of pediatric epidemic disease patient volume in the Chaoshan region: a deep learning framework v1.0.0
Abstract
Accurate prediction of pediatric epidemic infectious diseases is critical for effective prevention and personalized treatment. Herein, we developed a deep learning framework for the epidemiological characteristics of the Chaoshan region, using electronic health records data from 278,506 pediatric outpatient and emergency visits at the Second Affiliated Hospital of Shantou University Medical College between 2017 and 2023. Our framework is designed to learn pediatric representations that capture local epidemic dynamics and to meet regional clinical prediction needs.
Fields of Study & Subjects
Machine Learning in Healthcare
Data-Driven Disease Surveillance
Artificial Intelligence in Healthcare
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 10 February 2026
- Language
- EN