Published on in Vol 21, No 2 (2019): February

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/12341, first published .
An Integrated Influenza Surveillance Framework Based on National Influenza-Like Illness Incidence and Multiple Hospital Electronic Medical Records for Early Prediction of Influenza Epidemics: Design and Evaluation

An Integrated Influenza Surveillance Framework Based on National Influenza-Like Illness Incidence and Multiple Hospital Electronic Medical Records for Early Prediction of Influenza Epidemics: Design and Evaluation

An Integrated Influenza Surveillance Framework Based on National Influenza-Like Illness Incidence and Multiple Hospital Electronic Medical Records for Early Prediction of Influenza Epidemics: Design and Evaluation

Journals

  1. Scarpino S, Scott J, Eggo R, Clements B, Dimitrov N, Meyers L, Ferrari M. Socioeconomic bias in influenza surveillance. PLOS Computational Biology 2020;16(7):e1007941 View
  2. Shull J. Digital Health and the State of Interoperable Electronic Health Records. JMIR Medical Informatics 2019;7(4):e12712 View
  3. Lo Y, Yang C, Chien H, Chang S, Lu C, Chen R. Blockchain-Enabled iWellChain Framework Integration With the National Medical Referral System: Development and Usability Study. Journal of Medical Internet Research 2019;21(12):e13563 View