SUDANA, DHANA and Emanuel, Andi Wahju Rahardjo (2019) How Big Data in Health 4.0 Helps Prevent the Spread of Tuberculosis. In: Proceedings 2019 2nd International Conference on Bioinformatics, Biotechnology and Biomedical Engineering (BioMIC). Badan Penerbit dan Publikasi Universitas Gadjah Mada, Yogyakarta, Indonesia, pp. 100-105. ISBN 978-1-7281-4711-6

Text (Dhana Sudana and ndi W.R. Emanuel)
12. How Big Data in Health 4.0 Helps Prevent the Spread of Tuberculosis.pdf

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Abstract

—Internet development has initiated an industry 4.0
evolution, where the production process can be arranged
virtually and connected with large data services. The use of big
data in all fields now also impacts on the health sector better
known as health 4.0. This study analyzes the use of big data in
the era of industry 4.0 in the health domain with the aim of
knowing how much the benefits of big data technology and
health 4.0 can help prevent the spread of infectious diseases. In
this study, we took papers online and conducted an analogous
review process. The results of the paper that we reviewed further
provided us with an overview and proposal for a scheme for
monitoring infectious diseases such as TB by utilizing big data.
And open new opportunities to understand public health and the
prevention of infectious diseases in the health era 4.0.

Item Type: Book Section
Uncontrolled Keywords: big data, health 4.0, monitoring, prevention, tuberculosis
Subjects: Magister Teknik Informatika > Intelligent Informatic
Divisions: Pasca Sarjana > Magister Teknik Informatika
Date Deposited: 26 Feb 2022 03:42
Last Modified: 26 Feb 2022 03:42
URI: https://repository.uajy.ac.id/id/eprint/26455

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