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.