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

Machine Learning (1370) Clinical Informatics (904) New Methods (901) Pharmacovigilance (125) Natural Language Processing (636) Prevention and Health Promotion (879)

Published on in Vol 9, No 10 (2021): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/32730, first published .
Adverse Drug Event Prediction Using Noisy Literature-Derived Knowledge Graphs: Algorithm Development and Validation

Adverse Drug Event Prediction Using Noisy Literature-Derived Knowledge Graphs: Algorithm Development and Validation

Adverse Drug Event Prediction Using Noisy Literature-Derived Knowledge Graphs: Algorithm Development and Validation

Authors of this article:

Soham Dasgupta1 Author Orcid Image ;   Aishwarya Jayagopal2 Author Orcid Image ;   Abel Lim Jun Hong2 Author Orcid Image ;   Ragunathan Mariappan2 Author Orcid Image ;   Vaibhav Rajan3 Author Orcid Image
Article Authors Cited by (4) Tweetations (6) Metrics

Soham Dasgupta   1 , HS ;   Aishwarya Jayagopal   2 , BTech ;   Abel Lim Jun Hong   2 , BComp ;   Ragunathan Mariappan   2 , MSc ;   Vaibhav Rajan   3 , PhD

1 Mallya Aditi International School, Bangalore, India

2 School of Computing, National University of Singapore, Singapore, Singapore

3 Department of Information Systems and Analytics, National University of Singapore, Singapore, Singapore

Corresponding Author:

  • Vaibhav Rajan, PhD
  • Department of Information Systems and Analytics
  • National University of Singapore
  • School of Computing
  • Singapore, 117417
  • Singapore
  • Phone: 65 65166737
  • Email: vaibhav.rajan@nus.edu.sg