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- W2339955898 abstract "Decision-support applications in medicine require patient-specific data to provide advice in the context of clinical cases. Although on-line clinical databases allow decision-support applications to access patient-specific data automatically, the heterogeneity of clinical databases limits the sharing of decision-support applications that access data in this way. The goal of my research has been to overcome the representational heterogeneity of clinical databases so as to provide medical decision-support applications with a uniform interface to patient-specific data. I developed and implemented a formal methodology, called TransFER, to bridge the representational heterogeneity of relational databases and to increase the portability of medical decision-support applications.The TransFER methodology supports the definition of a global reference schema of clinical information against which applications may formulate requests for patient data. The reference schema is specified using a semantic data model, called FER, that is a hybrid of the functional data model (F) and the entity-relationship data model (ER). The FER data model includes a declarative query language called ReFER. A formal mapping language based on the relational algebra allows database administrators to specify the correspondence between the global reference schema and the local relational database at their site. A translating compiler at each site uses the encoded mappings to translate automatically queries that are specified against the global model to semantically equivalent queries that can be executed by the local relational database.I implemented a prototype of this model and conducted a formal evaluation to test the validity and generality of the TransFER methodology. The results of the evaluation indicate that (1) the FER data model and ReFER query language are well-suited for representing clinical database queries, (2) the mapping language is effective at mapping FER schemas to heterogeneous relational database schemas, and (3) the translating compiler is capable of correctly translating ReFER queries to equivalent SQL queries. Although automatically generated SQL translations are currently less efficient than manually generated translations, the evaluation results indicate that formal query-optimization techniques that I have developed hold promise for eliminating this difference." @default.
- W2339955898 created "2016-06-24" @default.
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- W2339955898 date "1996-01-01" @default.
- W2339955898 modified "2023-09-24" @default.
- W2339955898 title "A Formal model for bridging heterogeneous relational databases in clinical medicine" @default.
- W2339955898 hasPublicationYear "1996" @default.
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