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](https://asset.jmir.pub/assets/8a724f087b30394c272ffbd0a66ea09b.png 480w,https://asset.jmir.pub/assets/8a724f087b30394c272ffbd0a66ea09b.png 960w,https://asset.jmir.pub/assets/8a724f087b30394c272ffbd0a66ea09b.png 1920w,https://asset.jmir.pub/assets/8a724f087b30394c272ffbd0a66ea09b.png 2500w)
Journals
- 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