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

Ontologies, Classifications, and Coding (243) Genomics and Bioinformatics for Clinical Use (36) New Technologies (81)

Published on in Vol 8, No 10 (2020): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/18395, first published .
Phenotypically Similar Rare Disease Identification from an Integrative Knowledge Graph for Data Harmonization: Preliminary Study

Phenotypically Similar Rare Disease Identification from an Integrative Knowledge Graph for Data Harmonization: Preliminary Study

Phenotypically Similar Rare Disease Identification from an Integrative Knowledge Graph for Data Harmonization: Preliminary Study

Authors of this article:

Qian Zhu1 Author Orcid Image ;   Dac-Trung Nguyen1 Author Orcid Image ;   Gioconda Alyea2 Author Orcid Image ;   Karen Hanson2 Author Orcid Image ;   Eric Sid3 Author Orcid Image ;   Anne Pariser3 Author Orcid Image
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Journals

  1. Sanjak J, Binder J, Yadaw A, Zhu Q, Mathé E. Clustering rare diseases within an ontology-enriched knowledge graph. Journal of the American Medical Informatics Association 2023;31(1):154 View

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  1. Brady D, Al-Mubaid H. Recent Advances in Next-Generation Data Science. View