Articles filtered by author Kopanitsa G.D..
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MD&IT №1 2021
Different data formats are challenging for the standardization and exchange of medical data. In addition, most medical data in medical information systems (MIS) or databases is stored in an unstructured way, causing difficulties in processing the data. The article proposes an approach for categorizing unstructured medical records of patients with allergies into the categories provided in the FHIR exchange standard. We developed a two-stage classification model based on manually labelled ...
MD&IT №1 2021
Medical data exchange and integration within different care providers is highly important to ensure continuous and high-quality care service. Evaluating potential data losses during migration from one medical database to another is significant for decision-making. The presented article describes a method for preliminary overlap estimation when mapping proprietary formats with international standards, as well as local terminologies with international terminological systems.