An Archetype Query Language interpreter into MongoDB: Managing NoSQL standardized Electronic Health Record extracts systems

Volume: 101, Pages: 103339 - 103339
Published: Jan 1, 2020
Abstract
The fast development of today’s healthcare and the need to extract new medical knowledge from exponentially-growing volumes of standardized Electronic Health Records data, as required by studies in Precision Medicine, brings up a challenge that may probably only be addressed using NoSQL DBMSs, due to the non-optimal performance of traditional relational DBMSs on standardized data; and these database systems operated by semantic archetype-based...
Paper Details
Title
An Archetype Query Language interpreter into MongoDB: Managing NoSQL standardized Electronic Health Record extracts systems
Published Date
Jan 1, 2020
Volume
101
Pages
103339 - 103339
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