This paper is in the following e-collection/theme issue:

JMIR Theme Issue: COVID-19 Special Issue (2394) Outbreak and Pandemic Preparedness and Management (1679) Infodemiology and Infoveillance (1278) Natural Language Processing (650) Infectious Diseases (non-STD/STI) (1490) Information Seeking, Information Needs (426) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1015) Machine Learning (1401) Ontologies, Classifications, and Coding (227) Information Quality in Digital Media (318) Information Retrieval (271)

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

Authors of this article:

Douglas Teodoro1, 2, 3 Author Orcid Image ;   Sohrab Ferdowsi1, 3 Author Orcid Image ;   Nikolay Borissov4, 5 Author Orcid Image ;   Elham Kashani6 Author Orcid Image ;   David Vicente Alvarez1 Author Orcid Image ;   Jenny Copara1, 2, 3 Author Orcid Image ;   Racha Gouareb1, 3 Author Orcid Image ;   Nona Naderi1, 2 Author Orcid Image ;   Poorya Amini4, 5 Author Orcid Image
Article Authors Cited by (6) Tweetations (8) Metrics

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