Development and application of the ocular immune-mediated inflammatory diseases ontology enhanced with synonyms from online patient support forum conversation

• Published in: Computers in biology and medicine Vol. 135; p. 104542
• Main Authors: Pendleton, Samantha C., Slater, Luke T., Karwath, Andreas, Gilbert, Rose M., Davis, Nicola, Pesudovs, Konrad, Liu, Xiaoxuan, Denniston, Alastair K., Gkoutos, Georgios V., Braithwaite, Tasanee
• Format: Journal Article
• Language: English
• Published: United States Elsevier Ltd 01.08.2021; Elsevier Limited; Elsevier
• Subjects: Annotations; Axioms; Biological Ontologies; Clinical practice guidelines; Complications; Data mining; Databases, Factual; Eye diseases; Humans; Inflammation; Inflammatory diseases; Language; Natural language; Ontology; Patient voice; Patient-centered care; Patients; Phenotype; Phenotypes; Sentiment; Sentiment analysis; Statistical analysis; Unstructured data; Uveitis; Web Ontology Language-OWL; United Kingdom > UK; United States > US; Inflammation; Ontology; Patient voice; Sentiment; Uveitis

Unstructured text created by patients represents a rich, but relatively inaccessible resource for advancing patient-centred care. This study aimed to develop an ontology for ocular immune-mediated inflammatory diseases (OcIMIDo), as a tool to facilitate data extraction and analysis, illustrating its...