Proposed Pharmacy Data Element Ontology
نویسندگان
چکیده
One of the challenges in this project is preparation of an analyzable database. Pharmacy data elements are collected from pilot hospitals, refined/defined, and linked into longitudinal patient records appropriate for process and outcomes analysis. The major technical challenge in this phase is heterogeneity of the data elements. Each data source has its own method of data coding. They rarely speak the same language, either they choose different vendors' solutions or they have different definition for the same data field, or they just use free text. One particularly difficult element is prescription dosage. This element is complicated by the close relationship between dosage, dosage form, package size, and unit of measure. In any given instance each of these elements may, or may not, be the same. How much a patient received may be expressed as any of the following: one tablet, 500mg, 60ml, or one vial, each of which are technically correct, but difficult to work with without a quantity qualifier.
منابع مشابه
Query Architecture Expansion in Web Using Fuzzy Multi Domain Ontology
Due to the increasing web, there are many challenges to establish a general framework for data mining and retrieving structured data from the Web. Creating an ontology is a step towards solving this problem. The ontology raises the main entity and the concept of any data in data mining. In this paper, we tried to propose a method for applying the "meaning" of the search system, But the problem ...
متن کاملPresenting a method for extracting structured domain-dependent information from Farsi Web pages
Extracting structured information about entities from web texts is an important task in web mining, natural language processing, and information extraction. Information extraction is useful in many applications including search engines, question-answering systems, recommender systems, machine translation, etc. An information extraction system aims to identify the entities from the text and extr...
متن کاملOntology based framework for data integration
One of the most complex issues of the data integration is the case where there are multiple sources for the same data element. It is not easy to generate and maintain the integrated scheme. In this paper we describe a framework which encompasses the entire data integration process. The data source schemas as well as the integrated schema are expressed using an extension of an ontology definitio...
متن کاملCentralized Clustering Method To Increase Accuracy In Ontology Matching Systems
Ontology is the main infrastructure of the Semantic Web which provides facilities for integration, searching and sharing of information on the web. Development of ontologies as the basis of semantic web and their heterogeneities have led to the existence of ontology matching. By emerging large-scale ontologies in real domain, the ontology matching systems faced with some problem like memory con...
متن کاملAn Executive Approach Based On the Production of Fuzzy Ontology Using the Semantic Web Rule Language Method (SWRL)
Today, the need to deal with ambiguous information in semantic web languages is increasing. Ontology is an important part of the W3C standards for the semantic web, used to define a conceptual standard vocabulary for the exchange of data between systems, the provision of reusable databases, and the facilitation of collaboration across multiple systems. However, classical ontology is not enough ...
متن کامل