Ontology-based Normalization for Disease-Lab test Relation Extraction

This poster describes our preliminary work on ontology-based normalization for diseases and lab tests, as a fundamental step toward disease-lab test relation extraction. Multiple ontologies are leveraged for this aim. Specifically, diseases and lab tests are first extracted and mapped to the Concept Unique Identifier (CUI) of the Unified Medical Language System (UMLS) by MetaMap. Codes of International Classification of Diseases, Version 9 – Clinical Modification (ICD-9CM) are then employed to further normalize diseases; while the Logical Observation Identifiers Names and Codes (LOINC) are used to normalize lab tests. Keywords—ontology-based normalization; disease normalization; lab test normalization; relation extraction