Published on in Vol 23, No 9 (2021): September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/30161, first published .
Information Retrieval in an Infodemic: The Case of COVID-19 Publications

Information Retrieval in an Infodemic: The Case of COVID-19 Publications

Information Retrieval in an Infodemic: The Case of COVID-19 Publications

Journals

  1. Haas Q, Borisov N, Alvarez D, Ferdowsi S, von Meyenn L, Teodoro D, Amini P. Vaccine Development in the Time of COVID-19: The Relevance of the Risklick AI to Assist in Risk Assessment and Optimize Performance. Frontiers in Digital Health 2021;3 View
  2. Zhao Z, Jin Q, Chen F, Peng T, Yu S. A large-scale dataset of patient summaries for retrieval-based clinical decision support systems. Scientific Data 2023;10(1) View
  3. Zhang B, Naderi N, Mishra R, Teodoro D. Online Health Search Via Multidimensional Information Quality Assessment Based on Deep Language Models: Algorithm Development and Validation. JMIR AI 2024;3:e42630 View
  4. Shi K, Cui B, Zhao X, Ma Y, Yang Y, Du Z. Deep Learning-Based Cause-Related Marketing and the Impact of the Internet on MICE Events in the Context of the Epidemic. Fluctuation and Noise Letters 2024;23(02) View
  5. Nascimento Dial A, Vicente D, Mitra S, Teodoro D, Rivas Velarde M. Did high frequency phone surveys during the COVID-19 pandemic include disability questions? An assessment of COVID-19 surveys from March 2020 to December 2022. BMJ Open 2024;14(7):e079760 View