IoT and Big Data for Public Health

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Guest Editor
Dr. Anand Paul
The School of Computer Science and Engineering, Kyungpook National University, Korea
Email: anand@knu.ac.kr

Manuscript Topics
Healthy people are important for any nation's development. Use of the Internet of Things (IoT)-based body area networks (BANs) is increasing for continuous monitoring and medical healthcare in order to perform real-time actions in case of emergencies. However, in the case of monitoring the health of all citizens or people in a country, the millions of sensors attached to human bodies generate massive volume of heterogeneous data, called "Big Data." Processing Big Data and performing real-time actions in critical situations is a challenging task. Therefore, in order to address such issues, we propose a special issue IoT and Big Data for Public Health.

Potential topics included, but not limited

• Emerging informatics framework for big data environments to support big data for health
• Big data analytics , machine learning algorithms and parallel algorithms for biomedical and health    informatics
• Social media for promoting personal health, disease prevention and population health management
• Applications of big data for patient management, targeted therapy , chronic and infectious diseases,    environmental health, social health and informatics• Big data for personalized health care
• Big Data management for healthcare system-architecture, requirements and implementation

Paper Submission
All manuscripts will be peer-reviewed before their acceptance for publication.
The deadline for manuscript submission is June 30, 2019

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