Constructing High-Fidelity Phenotype Knowledge Graphs for Infectious Diseases With a Fine-Grained Semantic Information Model: Development and Usability Study

wikidata 2024-07-20

Summary:

CONCLUSIONS: PhenoSSU is an effective information model for the precise representation of phenotype knowledge for clinical guidelines, and machine learning can be used to improve the efficiency of constructing PhenoSSU-based knowledge graphs. Our work will potentially shift the focus of medical knowledge engineering from a coarse-grained level to a more fine-grained level.

Link:

https://pubmed.ncbi.nlm.nih.gov/34128811/?utm_source=Other&utm_medium=rss&utm_campaign=pubmed-2&utm_content=1VSjW0JqT_vVo4exSnaEa8DS8viTn4bOW9m_0JY8UcVGX5Esjj&fc=20220129234853&ff=20240720192903&v=2.18.0.post9+e462414

From feeds:

📚BioDBS Bibliography » wikidata

Tags:

Authors:

Lizong Deng, Luming Chen, Tao Yang, Mi Liu, Shicheng Li, Taijiao Jiang

Date tagged:

07/20/2024, 19:29

Date published:

06/15/2021, 06:00