Violeta Todorova, Veska Gancheva, Valeri Mladenov, "COVID-19 Medical Data Integration Approach," Molecular Sciences and Applications, vol. 2, pp. 102-106, 2022, DOI:10.37394/232023.2022.2.11
Violeta Todorova, Veska Gancheva, Valeri Mladenov. COVID-19 Medical Data Integration Approach.
Molecular Sciences and Applications. 2022;2:102-106. 10.37394/232023.2022.2.11
MOLECULAR SCIENCES AND APPLICATIONS
Print ISSN: 2944-9138, E-ISSN: 2732-9992 An Open Access International Journal of Molecular Sciences and Applications
Volume 2, 2022
COVID-19 Medical Data Integration Approach
Authors: , ,
Abstract: The need to create automated methods for extracting knowledge from data arises from the accumulation of a large amount of data. This paper presents a conceptual model for integrating and processing medical data in three layers, comprising a total of six phases: a model for integrating, filtering, sorting and aggregating Covid-19 data. A medical data integration workflow was designed, including steps of data integration, filtering and sorting. The workflow for Covid-19 medical data from clinical records of 20400 potential patients was employed.
Pages: 102-106 DOI: 10.37394/232023.2022.2.11WSEAS Transactions on Molecular Sciences and Applications, ISSN / E-ISSN: 2944-9138 / 2732-9992, Volume 2, 2022, Art. #11
×
Citation Tools