The UT-FX team participated in the de-identification sub-task and the complaint and diagnosis subtask of the NTCIR-10 MedNLP pilot task. This report describes our approach to solving the two subtasks.
—Medical ontologies have been a focus of constant attention in recent years as one of the fundamental techniques and knowledge bases for clinical decision support applications. In this paper, we discuss the description framework of our anatomy ontology with a focus on representing topological information, which is required for anatomical reasoning in… (More)
Physiological knowledge is often described in terms of mathematical models in the domain of bioinformatics, and some ontologies have been developed to integrate these models. However, such models do not explicitly describe clinicians' qualitative knowledge, which is required for clinical applications including decision support and counseling of patients to… (More)
The openEHR has adopted the dual model architecture consisting of Reference Model and Archetype. The specification, however, lacks formal definitions of archetype semantics, so that its behaviors have remained ambiguous. The objective of this poster is to analyze semantics of the openEHR archetypes: its variance and mutability. We use a typed lambda… (More)
This paper describes a method to extract medical information from texts. The method targets to extract complaints and diagnoses from electronic health record texts. Complaints and diagnoses are fundamental information and can be used for more complex medical tasks. The method utilizes several medical knowledge resources to enhance the performance of… (More)