Autors: Gancheva, V. S., I. Georgiev.
Title: A Scalable Healthcare Data Science Framework Based on Service-Oriented Architecture
Keywords: Healthcare, Biomedical data, Neural networks

Abstract: The aim of the research presented in this paper is to propose a conceptual model and architecture of a service-oriented scalable framework, ensuring the implementation and verification of methods and algorithms for the integration, management, analysis, and visualization of biomedical data and the implementation of scientific research for the needs of precision medicine. The system architecture for big biomedical data analytics and discovering useful knowledge from data consists of the following components: biomedical data sources, data storage, data integration and preprocessing, real-time data flow, stream processing, analytical data storage, data modeling and analysis, and results visualization. A feed-forward artificial neural network is designed for data analysis, and during the training process, the input data is divided into training data and test data.

References

    Issue

    International Conference on Research in Education and Science, pp. 2525-2536, 2023, Turkey, ISBN ISBN: 978-1-952092-44-2

    Вид: публикация в международен форум, публикация в реферирано издание, индексирана в Scopus