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Published on in Vol 11 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/45846, first published .
Doctor examines baby held by mother with stethoscope in clinic

Analyzing and Forecasting Pediatric Fever Clinic Visits in High Frequency Using Ensemble Time-Series Methods After the COVID-19 Pandemic in Hangzhou, China: Retrospective Study

Analyzing and Forecasting Pediatric Fever Clinic Visits in High Frequency Using Ensemble Time-Series Methods After the COVID-19 Pandemic in Hangzhou, China: Retrospective Study

Journals

  1. Zhang X, Xu X, Leng H, Shen Q, Liu Y, Zhang Z, Zheng X. The forecasting of pediatric asthma clinic visits: A comparative analysis of time-series models under varying training set sizes. DIGITAL HEALTH 2026;12 View
  2. Hong T, Ren Z, Fang J, Quan S, Pan J, Lin Y. Graph Network Feature Space Fusion for Predicting Irregularly Sampled Medical Time-Series Data: Deep Learning Model Development and Validation Study. JMIR Medical Informatics 2026;14:e81145 View

Conference Proceedings

  1. Shi Y, Li C, Liu J, Yu M, Du J, Liao K, Xu X. 2026 8th Asia Energy and Electrical Engineering Symposium (AEEES). Seasonality Affects Changes in Hydroelectric Power Plant Tariffs View