In Search of Big Medical Data Integration Solutions - A Comprehensive Survey
In recent years, the radical advancement of technologies has given rise to an abundance of software applications, social media, and smart devices such as smartphone, sensors, and so on. More extensive use of these applications and tools in various industrial domains has led to data deluge, which has...
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doaj-1882569e1f5f4f9abb8fa1b50b38023a2021-03-29T23:32:25ZengIEEEIEEE Access2169-35362019-01-017912659129010.1109/ACCESS.2019.29274918758091In Search of Big Medical Data Integration Solutions - A Comprehensive SurveyHoussein Dhayne0https://orcid.org/0000-0002-7476-4754Rafiqul Haque1Rima Kilany2Yehia Taher3Faculty of Engineering, ESIB, Saint Joseph University, Beirut, LebanonCognitus, Paris, FranceFaculty of Engineering, ESIB, Saint Joseph University, Beirut, LebanonDavid Laboratory, Versailles, FranceIn recent years, the radical advancement of technologies has given rise to an abundance of software applications, social media, and smart devices such as smartphone, sensors, and so on. More extensive use of these applications and tools in various industrial domains has led to data deluge, which has fostered enormous challenges and opportunities. However, it is not only the volume of the data but also the speed, variety, and uncertainty, which are promoting a massive challenge for traditional technologies such as data warehouse. These diverse and unprecedented characteristics have engendered the notion of “Big Data.” The data-intensive industries have been experiencing a wide variety of challenges in terms of processing, managing, and analysis of data. For instance, the healthcare sector is confronting difficulties in respect of integration or fusion of diverse medical data stemming from multiple heterogeneous sources. Data integration is critically important within the healthcare sector because it enriches data, enhances its value, and more importantly paves a solid foundation for highly efficient and effective healthcare analytics such as predicting diseases or an outbreak. Several data integration technologies and tools have been developed over the last two decades. This paper aims at studying data integration technologies, tools, and applications within the healthcare domain. Furthermore, this paper discusses future research directions in the integration of Big healthcare data.https://ieeexplore.ieee.org/document/8758091/Big datadata integrationhealthcare data |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Houssein Dhayne Rafiqul Haque Rima Kilany Yehia Taher |
spellingShingle |
Houssein Dhayne Rafiqul Haque Rima Kilany Yehia Taher In Search of Big Medical Data Integration Solutions - A Comprehensive Survey IEEE Access Big data data integration healthcare data |
author_facet |
Houssein Dhayne Rafiqul Haque Rima Kilany Yehia Taher |
author_sort |
Houssein Dhayne |
title |
In Search of Big Medical Data Integration Solutions - A Comprehensive Survey |
title_short |
In Search of Big Medical Data Integration Solutions - A Comprehensive Survey |
title_full |
In Search of Big Medical Data Integration Solutions - A Comprehensive Survey |
title_fullStr |
In Search of Big Medical Data Integration Solutions - A Comprehensive Survey |
title_full_unstemmed |
In Search of Big Medical Data Integration Solutions - A Comprehensive Survey |
title_sort |
in search of big medical data integration solutions - a comprehensive survey |
publisher |
IEEE |
series |
IEEE Access |
issn |
2169-3536 |
publishDate |
2019-01-01 |
description |
In recent years, the radical advancement of technologies has given rise to an abundance of software applications, social media, and smart devices such as smartphone, sensors, and so on. More extensive use of these applications and tools in various industrial domains has led to data deluge, which has fostered enormous challenges and opportunities. However, it is not only the volume of the data but also the speed, variety, and uncertainty, which are promoting a massive challenge for traditional technologies such as data warehouse. These diverse and unprecedented characteristics have engendered the notion of “Big Data.” The data-intensive industries have been experiencing a wide variety of challenges in terms of processing, managing, and analysis of data. For instance, the healthcare sector is confronting difficulties in respect of integration or fusion of diverse medical data stemming from multiple heterogeneous sources. Data integration is critically important within the healthcare sector because it enriches data, enhances its value, and more importantly paves a solid foundation for highly efficient and effective healthcare analytics such as predicting diseases or an outbreak. Several data integration technologies and tools have been developed over the last two decades. This paper aims at studying data integration technologies, tools, and applications within the healthcare domain. Furthermore, this paper discusses future research directions in the integration of Big healthcare data. |
topic |
Big data data integration healthcare data |
url |
https://ieeexplore.ieee.org/document/8758091/ |
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