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

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

Instructions for authors
Please submit your manuscript to online submission system

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