Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Purpose The author sought to integrate an ontology of rare diseases with a large ontological model of radiological diagnosis.#N##N#Materials and Methods The Orphanet Rare Disease Ontology (ORDO) comprised 6794 rare diseases. The Radiology Gamuts Ontology (RGO) incorporated 16 197 terms and 53 425 causal relations linking disorders to imaging manifestations. Semi-automated string-matching was used to match ORDO terms to RGO terms.#N##N#Results Of 6794 ORDO terms, 1587 (23.3%) re matched to RGO terms. An additional 700 ORDO terms whose names re hyphenated lists of phenotypic features re added to RGO with causal links from the disease name to the various features. Matched terms re more likely to have higher disease prevalence.#N##N#Conclusions Integrating these ontologies expanded the set of terms and scope of knowledge available for radiological differential diagnosis, and can support translational rare-disease research by linking knowledge of genetics and imaging phenotypes.
['(TYPE=name) (SCHEME=Vancouver) Kahn Ce']
I am writing a research paper on a idea Integrating ontologies of rare diseases and radiological diagnosis
[{"from": "human", "value": "I am writing a research paper on a idea Integrating ontologies of rare diseases and radiological diagnosis"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Purpose The author sought to integrate an ontology of rare diseases with a large ontological model of radiological diagnosis.#N##N#Materials and Methods The Orphanet Rare Disease Ontology (ORDO) comprised 6794 rare diseases. The Radiology Gamuts Ontology (RGO) incorporated 16 197 terms and 53\u2009425 causal relations linking disorders to imaging manifestations. Semi-automated string-matching was used to match ORDO terms to RGO terms.#N##N#Results Of 6794 ORDO terms, 1587 (23.3%) re matched to RGO terms. An additional 700 ORDO terms whose names re hyphenated lists of phenotypic features re added to RGO with causal links from the disease name to the various features. Matched terms re more likely to have higher disease prevalence.#N##N#Conclusions Integrating these ontologies expanded the set of terms and scope of knowledge available for radiological differential diagnosis, and can support translational rare-disease research by linking knowledge of genetics and imaging phenotypes."}]