AIMC Topic: Semantics

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A new approach for cleansing geographical dataset using Levenshtein distance, prior knowledge and contextual information.

Studies in health technology and informatics
Epidemiological studies are necessary to take public health decisions. Their relevance depends on the quality of data. Doctors in continuous care collect a big amount of data that can be used for epidemiological purpose, but spatial data may be dirty...

Enrich classifications in psychiatry with textual data: an ontology for psychiatry including social concepts.

Studies in health technology and informatics
We propose a modular approach to develop an ontology of psychiatry, ONTOPSYCHIA, based on Patient Discharges Summaries (PDS) and divided into three modules (i.e. social, mental disorders and treatments). We decided to take into account the social asp...

Lessons learned in the generation of biomedical research datasets using Semantic Open Data technologies.

Studies in health technology and informatics
Biomedical research usually requires combining large volumes of data from multiple heterogeneous sources. Such heterogeneity makes difficult not only the generation of research-oriented dataset but also its exploitation. In recent years, the Open Dat...

A connecting system for cardiological lexicons.

Studies in health technology and informatics
The purpose of this paper is to present the approach and the development of a software application ("lexicons connecting" system) to correlate effectively and unambiguously the correspondence between the specialist medical vocabulary and the familiar...

Incidence Rate of Canonical vs. Derived Medical Terminology in Natural Language.

Studies in health technology and informatics
Medical terminology appears in the natural language in multiple forms: canonical, derived or inflected form. This research presents an analysis of the form in which medical terminology appears in Romanian and English language. The sources of medical ...