Ieee Access Special Section Editorial: Big Data Analytics for Smart and Connected Health | Zendy

Yuan Zhang | Zendy; Lin Zhang | Zendy; Eiji Oki | Zendy; Nitesh V. Chawla | Zendy; Anton Kos | Zendy

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Ieee Access Special Section Editorial: Big Data Analytics for Smart and Connected Health

Author(s) -

Yuan Zhang,

Lin Zhang,

Eiji Oki,

Nitesh V. Chawla,

Anton Kos

Publication year - 2017

Publication title -

ieee access

Language(s) - English

Resource type - Magazines

SCImago Journal Rank - 0.587

H-Index - 127

ISSN - 2169-3536

DOI - 10.1109/access.2016.2646158

Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation

Smart devices, such as tablets and phones, are revolutionizing access to healthcare services. They are bringing forth the mHealth and eHealth revolution, and are aiming to empower the consumers to make a difference to their health and wellbeing by connecting data to personalized analytics to timely insights. However, this consumer-centric journey for smart and connected health is presenting challenges and opportunities for big data analytics research, whether in integrating and developing machine learning algorithms for heterogeneous and longitudinal data or developing novel systems or applications or developing new user experience frameworks, and doing all this while ensuring privacy and security of user data.

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