How Big Data in Health 4.0 Helps Prevent the Spread of Tuberculosis

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

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

Download (556kB) | Preview

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
Depositing User: Editor 3 uajy
Date Deposited: 26 Feb 2022 10:42
Last Modified: 26 Feb 2022 10:42
URI: http://e-journal.uajy.ac.id/id/eprint/26455

Actions (login required)

View Item View Item