Data Analytics in Smart Healthcare

Dear Colleagues,

Every day 2.5 quintillion bytes data is generated which is an unimaginable figure to human beings and even machine. In recent decades a lot of data analytics techniques (especially artificial intelligence) have been presented to investigate the efficacy of data driven business intelligence application all over the world. With the tremendous growth of primary data volumes and diversity in every domain, they play an ever more crucial role enabling researchers and enterprises to formulate processing and analysis methods to extract latent information from multiple data resources and to leverage a broad range of data handling and computational platforms.

Health is wealth. The world is looking for more and more data analytics in healthcare to relieve medical problems in medical staff shortage, ageing population, people living alone and quality of life. There have been various research challenges and opportunities that lead to tremendous research publication in healthcare in recent decades.

This special issue aims to consolidate recent advances in data analytics for healthcare, research in theory and applications. Pilot studies in healthcare are especially welcome. Topics of interest for the special issue include (but are not limited to)

• Descriptive analytics
• Diagnostic analytics (e.g. ischaemic heart diseases, stroke, diabetes mellitus)
• Predictive analytics
• Prescriptive analytics
• Text analytics
• Artificial intelligence applications in healthcare
• Data mining
• Big data analysis
• Optimization algorithms in healthcare
• Missing biomedical data handling
• Biomedical image/signal (pre)processing techniques for healthcare applications
• Sensor data quality and reliability
• Feature extraction in healthcare applications
• Cloud computing
• Complex network analysis
• Data security

Prof. Miltiadis D. Lytras
Dr. Kwok Tai Chui
Prof. Anna Visvizi
Guest Editors

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