posted by organizer: PeerJ || 2009 views || tracked by 4 users: [display]

AI & Big Data in eHealth and mHealth 2023 : Big Data and Artificial Intelligence in eHealth and mHealth


When N/A
Where N/A
Submission Deadline Jan 20, 2023
Categories    artificial intelligence   data science   mhealth   robotics

Call For Papers


Artificial intelligence (AI) is becoming intertwined in the development of the modern world. It has acted as a major factor for emerging technologies in robotics, healthcare, transportation, Internet of Things (IoT), media, finance, education, and many more. Big Data analytics - for example looking at market trends, correlations, customer preferences, and hidden patterns - are becoming intrinsic to making informed business decisions, including the use of complex applications with predictive models, statistical algorithms, and what-if analysis driven by analytics systems.

Healthcare is becoming increasingly reliant on mobile health (mHealth) and electronic health (eHealth). A fundamental theme of mHealth is to monitor health through mobile phones and wearable patient monitoring gadgets, and to contribute to the increasingly mobile/wireless medical diagnosis, treatment and health care delivery systems. Relatedly, eHealth involves data types such as medical images and electronic health records, as well as information governance. When combined with the application of AI and Big Data analytics, mHealth and eHealth aim to provide an effective healthcare system.

This Special Issue is planned to act as a stage for researchers who are working on eHealth and mHealth using Big Data analytics and AI.

We invite the authors to submit their original, unpublished research and literature review articles. Authors are encouraged to discuss the importance of data privacy and security in the context of eHealth and mHealth data, as well as compliance with privacy legislation such as GDPR and HIPAA.


Naeem Jan
Research Scientist, City University of New York, City College
Laszlo Koczy
Professor Emeritus, Budapest University of Technology and Economics
Jeonghwan Gwak
Professor, Korea National University of Transportation
Dragan Pamucar
Professor, University of Belgrade

Related Resources

IEEE Big Data - MMAI 2024   IEEE Big Data 2024 Workshop on Multimodal AI (Hybrid)
SPIE-Ei/Scopus-CVCM 2024   2024 5th International Conference on Computer Vision, Communications and Multimedia (CVCM 2024) -EI Compendex
IEEE Big Data - AIMG 2024   IEEE Big Data 2024 Workshop on AI Music Generation
Ei/Scopus-AACIP 2024   2024 2nd Asia Conference on Algorithms, Computing and Image Processing (AACIP 2024)-EI Compendex
ICBICC 2024   2024 International Conference on Big Data, IoT, and Cloud Computing (ICBICC 2024)
CCVPR 2024   2024 International Joint Conference on Computer Vision and Pattern Recognition (CCVPR 2024)
IEEE BigData 2024   2024 IEEE International Conference on Big Data
IEEE-Ei/Scopus-ACEPE 2024   2024 IEEE Asia Conference on Advances in Electrical and Power Engineering (ACEPE 2024) -Ei Compendex
DSIT 2024   7th International Conference on Data Science and Information Technology
IEEE-Ei/Scopus-SGGEA 2024   2024 Asia Conference on Smart Grid, Green Energy and Applications (SGGEA 2024) -EI Compendex