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

Clinical Information and Decision Making (1407) Natural Language Processing (692)

Published on in Vol 20, No 5 (2018): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/9610, first published .
Phenotype Instance Verification and Evaluation Tool (PIVET): A Scaled Phenotype Evidence Generation Framework Using Web-Based Medical Literature

Phenotype Instance Verification and Evaluation Tool (PIVET): A Scaled Phenotype Evidence Generation Framework Using Web-Based Medical Literature

Phenotype Instance Verification and Evaluation Tool (PIVET): A Scaled Phenotype Evidence Generation Framework Using Web-Based Medical Literature

Authors of this article:

Jette Henderson1 Author Orcid Image ;   Junyuan Ke2 Author Orcid Image ;   Joyce C Ho2 Author Orcid Image ;   Joydeep Ghosh1 Author Orcid Image ;   Byron C Wallace3 Author Orcid Image
Article Authors Cited by (4) Tweetations (7) Metrics

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  2. Afzal M, Hussain M, Malik K, Lee S. Impact of Automatic Query Generation and Quality Recognition Using Deep Learning to Curate Evidence From Biomedical Literature: Empirical Study. JMIR Medical Informatics 2019;7(4):e13430 View
  3. Stevens L, Mortazavi B, Deo R, Curtis L, Kao D. Recommendations for Reporting Machine Learning Analyses in Clinical Research. Circulation: Cardiovascular Quality and Outcomes 2020;13(10) View
  4. Zhao S, Wang A, Qin B, Wang F, Wren J. Biomedical evidence engineering for data-driven discovery. Bioinformatics 2022;38(23):5270 View