Special Issue Information Special Issue Call for Paper Other Special Issues on this journal Closed Special Issues
Data Science for Smart Healthcare: Methodologies and Applications

Data Science for Smart Healthcare: Methodologies and Applications

Journal
Impact Score 15.18

OFFICIAL WEBSITE

Special Issue Information

Submission Deadline: 30-01-2020
Journal Impact Score: 15.18
Journal Name: Future Generation Computer Systems
Publisher: Future Generation Computer Systems

Special Issue Call for Papers


Introduction:



Big Data is on everyone's lips, even in healthcare. However, it is not always clear how the scientific data collected can be used in the medical and health sector. The first step is to understand what information can be obtained, thanks to Data Science methodologies, about citizens' preferences and concerns, and then to be able to use it to offer an even more effective health experience and promote research. This is the challenge of using Data Science in Healthcare, even closer to a promise than to reality.



Once Healthcare Data is made available to the companies, organisations, Data Scientists, the problem arises of how to use it.



The potential of data in healthcare is enormous and those who have been studying the sector for years are convinced that it can actually innovate and improve healthcare profoundly. The positive fallout will, of course, be on both the patient and healthcare facilities. Knowing more information on his state of health would allow everyone to be followed in an increasingly personal and "tailor-made" way.



However, the limits, mostly related to data acquisition, should not be underestimated. The still limited use of electronic medical records (HER), often due to the difficulty of use, limits the collection and sharing of digital e-health data. Another problem is that the data on which the algorithm learning is based derives from common medical practice, which however does not always correspond to the ideal solution for the patient. Besides, the data are not collected uniformly for all sections of the population, just think of the differences in treatment that American patients have based on the possibility or not of having health insurance.



The objective of this special issue is to attract high-quality research and survey articles that promote research and reflect the most recent advances in addressing Data Science methodologies and applications for Healthcare.



We welcome researchers from both academia and industry to provide their state-of-the-art technologies and ideas covering all aspects of Data Science methodologies and applications for Healthcare.



Topics:



Potential topics include but are not limited to following:




  • Artificial Intelligence models for Healthcare.


  • Machine Learning models for Healthcare.


  • Clustering and classification algorithms for Healthcare.


  • Deep and reinforcement learning for Healthcare.


  • Big Data analytics for data processing from Healthcare.


  • Fuzzy Systems proposals for Healthcare.


  • Expert/hybrid Systems for Healthcare


  • AI/ML for IoT, Industry 4.0 for Healthcare


  • Intelligent security proposals for Healthcare.


  • Control systems developments for Healthcare


  • Organization Based Multiagent Systems for Healthcare



Important Deadlines



Submission Deadline: 30 Jan 2020



Acceptance Notification: 30 Apr 2020



Guest Editors



Dr. Francesco Piccialli, Ph.D. (LEADING GE)

University of Naples FEDERICO II, Italy

[email protected]



Prof. Nik Bessis

Edge Hill University, UK



Prof. Gwanggil Jeon

Incheon University, Seoul, South Korea




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