Leveraging a Province-Wide Electronic Health Record System to Integrate Health Promotion into Routine Hospital-based Care in Alberta, Canada- A Research Protocol for Evaluation. [PDF]
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Overview of RAG-based and LLM-based approaches to personalization in healthcare AI applications. [PDF]
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A performance comparison of document oriented NoSQL databases
2017 International Conference on Computer, Communication and Signal Processing (ICCCSP), 2017Due to exponential growth of data over the years, there are lot of formats in which the data is available. Many schema-less databases are identified as the data these days do not pertain itself to a particular scheme. So, the effective storage and processing of such data were not possible with the existing RDBMS.
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Document Oriented NoSQL Databases: An Empirical Study
Communications in Computer and Information Science, 2018In today’s era, organizations are developing applications which continuously and rapidly generates large amount of data. In this world of big data, NoSQL databases are rapidly becoming popular for storing information among organizations. Therefore, it is essential for an organization to choose a database which is compatible and efficient for their ...
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A Method for Transforming Object-relational to Document-oriented Databases
2020 2nd International Conference on Mathematics and Information Technology (ICMIT), 2020Object-relational databases have emerged to improve relational ones by adding properties of object-oriented approach such as references, polymorphism, inheritance, etc. However, these extended relational databases have become a huge amount of data and the database management systems (DBMS) cannot handle them. Due to the emergence of NoSQL databases for
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Variety-Aware OLAP of Document-Oriented Databases.
Schemaless databases, and document-oriented databases in particular, are preferred to relational ones for storing heterogeneous data with variable schemas and structural forms. However, the absence of a unique schema adds complexity to analytical applications, in which a single analysis often involves large sets of data with different schemas.
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Boosting the Entity-Relationship Model for Document-Oriented Databases
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