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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

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
  2. Guo J, Du Y, Ding F, Wang X, Pei X, Zhao Y, Zhou F, Li F, Guo K, Zhang J. Visual analytics for high reliable knowledge graph fact prediction. Visual Informatics 2026:100321 View

Books/Policy Documents

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