Big Data Analytics for Smart Healthcare applications

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Celestine Iwendi

University of Bolton

Thippa Reddy Gadekallu

Zhongda Group, Haiyan County, Jiaxing City

Ali Kashif Bashir

Manchester Metropolitan University

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Due to the rapid increase of digitalization, numerous technologies like the Internet of Medical Things (IoMT), Wearable devices, a huge amount of healthcare data is being generated in multiple formats than ever before. Big data analytics ascertain the proof that has a huge mandate for knowledge discovery, solving problems, computing efficiency. It mainly emphasizes the peculiar tests regarding the information, data processing, analytical modeling, and managing the officialdoms to turn big data into big insight.

The main theme of this special issue is to gather the contemporary exploration of the cutting-edge developments, issues, and challenges in big data analytics for smart healthcare systems. Proposed submissions should be original, unpublished, and novel in-depth research that makes significant methodological or application contributions. Review papers, case studies, and theoretical works are also accepted.

- Machine learning with big data for smart health care

- Soft computing techniques with Big Data for healthcare applications

- Big data for Internet of Medical Things (IoMT)

- Security and privacy issues in IoMT enabled systems

- Blockchain with Big data for IoMT

- Blockchain with Edge computing for healthcare applications

- Interoperability Development Testing of IoMT

- Industrial Internet of Things (IIoT) based big data for smart healthcare

- Big data and Cobots for Healthcare applications

- Future challenges and applications of Big data in Smart Healthcare systems

Due to the rapid increase of digitalization, numerous technologies like the Internet of Medical Things (IoMT), Wearable devices, a huge amount of healthcare data is being generated in multiple formats than ever before. Big data analytics ascertain the proof that has a huge mandate for knowledge discovery, solving problems, computing efficiency. It mainly emphasizes the peculiar tests regarding the information, data processing, analytical modeling, and managing the officialdoms to turn big data into big insight.

The main theme of this special issue is to gather the contemporary exploration of the cutting-edge developments, issues, and challenges in big data analytics for smart healthcare systems. Proposed submissions should be original, unpublished, and novel in-depth research that makes significant methodological or application contributions. Review papers, case studies, and theoretical works are also accepted.

- Machine learning with big data for smart health care

- Soft computing techniques with Big Data for healthcare applications

- Big data for Internet of Medical Things (IoMT)

- Security and privacy issues in IoMT enabled systems

- Blockchain with Big data for IoMT

- Blockchain with Edge computing for healthcare applications

- Interoperability Development Testing of IoMT

- Industrial Internet of Things (IIoT) based big data for smart healthcare

- Big data and Cobots for Healthcare applications

- Future challenges and applications of Big data in Smart Healthcare systems

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Editors

Celestine Iwendi

University of Bolton

Thippa Reddy Gadekallu

Zhongda Group, Haiyan County, Jiaxing City

Ali Kashif Bashir

Manchester Metropolitan University

Impact

743,230 Total views

558,819 Article views

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