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Publication . Article . 2020

Data aggregation and indexing support from multiple sources using graph model in medical expert system databases

A. V. Kurachkin; V. S. Sadau;
Open Access   Russian  
Published: 30 Sep 2020 Journal: Informatika, volume 17, issue 3, pages 25-35 (issn: 1816-0301, Copyright policy )
Publisher: The United Institute of Informatics Problems of the National Academy of Sciences of Belarus
Abstract
One of the key problems in developing and integrating expert systems for medical research is the problem of data aggregation. Most of the times, general information about the patient and data about undergone research procedures exist as part of several disconnected information systems, each using its own schema for presenting and storing information. The paper proposes a solution to aggregate research and patient data in medical establishments using formal projections mechanism, which allows to unify data extraction from separate data sources. Graph-based patient and research record representation is introduced, which allows to support and optimize complex queries for single patient and for a set of historical data from single research. Proposed representation mechanism is also shown to be effective for centralized processing using various data mining and intelligent analysis techniques.
Subjects by Vocabulary

Microsoft Academic Graph classification: Graph database computer.software_genre computer Graph (abstract data type) Data extraction Data aggregator Representation (mathematics) Information retrieval Computer science Information system Expert system Set (abstract data type)

Subjects

data aggregation, graph schemas, graph databases, medical databases, medical expert systems, Electronic computers. Computer science, QA75.5-76.95