Improving rare disease classification using imperfect knowledge graph.
Background: Accurately recognizing rare diseases based on symptom description is an important task in patient triage, early risk stratification, and target therapies. However, due to the very nature of rare diseases, the lack of historical data poses a great challenge to machine learning-based appro...
| Publicado en: | BMC Medical Informatics & Decision Making Vol. 19 |
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| Autores principales: | , , , , , |
| Formato: | research Journal Article |
| Publicado: |
BioMed Central
12/5/2019 Supplement 5
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| Acceso en línea: | Ver este registro en EBSCOhost |