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

Theme Issue: Medical Informatics and COVID-19 (103) Data Science (223) JMIR Theme Issue: COVID-19 Special Issue (2388) Big Data (215) Natural Language Processing (636) Ontologies, Classifications, and Coding (223) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1481)

Published on in Vol 9, No 2 (2021): February

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/21679, first published .
Lexicon Development for COVID-19-related Concepts Using Open-source Word Embedding Sources: An Intrinsic and Extrinsic Evaluation

Lexicon Development for COVID-19-related Concepts Using Open-source Word Embedding Sources: An Intrinsic and Extrinsic Evaluation

Lexicon Development for COVID-19-related Concepts Using Open-source Word Embedding Sources: An Intrinsic and Extrinsic Evaluation

Authors of this article:

Soham Parikh1 Author Orcid Image ;   Anahita Davoudi2 Author Orcid Image ;   Shun Yu3 Author Orcid Image ;   Carolina Giraldo4 Author Orcid Image ;   Emily Schriver5 Author Orcid Image ;   Danielle Mowery6 Author Orcid Image
Article Authors Cited by (1) Tweetations (3) Metrics

Soham Parikh   1 * , MS ;   Anahita Davoudi   2 * , MS, PhD ;   Shun Yu   3 , MD ;   Carolina Giraldo   4 , BSc ;   Emily Schriver   5 , MSc ;   Danielle Mowery   6 , MS, PhD

1 School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, United States

2 Department of Biostatistics, Epidemiology, & Informatics, University of Pennsylvania, Philadelphia, PA, United States

3 Division of Hematology/Oncology, Department of Medicine, Hospital of the University of Pennsylvania, Philadelphia, PA, United States

4 Philadelphia College of Osteopathic Medicine, Philadelphia, PA, United States

5 Data Analytics Center, Penn Medicine, Philadelphia, PA, United States

6 Department of Biostatistics, Epidemiology, & Informatics, Institute for Biomedical Informatics, University of Pennsylvania, Philadelphia, PA, United States

*these authors contributed equally

Corresponding Author:

  • Danielle Mowery, MS, PhD
  • Department of Biostatistics, Epidemiology, & Informatics
  • Institute for Biomedical Informatics
  • University of Pennsylvania
  • A206 Richards Hall,
  • 3700 Hamilton Walk
  • Philadelphia, PA, 19104-6021
  • United States
  • Phone: 1 215-746-6677
  • Email: dlmowery@pennmedicine.upenn.edu