Journal Name： Health Information Science and Systems

Special Issue：Medical Data Stream Processing: Bringing Together Efficient Analysis,
Feature Identification & Pattern Classification


CALL FOR PAPERS
Medical Data Stream Processing is the technique and process dealing with continuous,
and possibly infinite, flows of data for clinical analysis and medical intervention.
Particular topics to address include data stream storage, transmission, and real-time
monitoring of changes and recurrences of patterns in medical domains etc. The covered
data sets can be (but are not limited to) electroencephalograph (EEG), Electrocardio-
graph (ECG) and physiological data. The main issue is that this data production often
takes the form of high speed continuous flows of data such as EEG signals or the phy-
siological data collected from intensive care units (ICU). This call for papers is to
bring together researchers in medical data stream processing to contribute their original
research articles or review articles that will stimulate and support the study of medical
data stream.


Potential topics include, but are not limited to:
- Processing (storing, transferring and analysing) anatomical/physiological data streams
- Processing and managing data streams for healthcare
- Integrated health information data streams
- Adaptive health information systems
- Mobile and ubiquitous medical data streams
- Remote monitoring of patients in hospital and ambulatory settings
- Process mining from medical data streams
- Real-time and real-world applications using streaming medical data
- Knowledge discovery from medical data streams


Important Dates:
Submission due: May 20, 2018 Results of first round: Jul 01, 2018
Revised paper due: Aug 19, 2018 Final Decisions: Sep 16 2018
Submission: https://www.editorialmanager.com/hisc/

Guest editor:
Dr Wei Wang w97wang@yahoo.co.uk
Dr Yixue Li yxli@sibs.ac.cn
Dr Chaoyi Pang chaoyi.pang@gmail.com; chaoyi.pang@qq.com

*In 2017, the HISS journal has been relocated from Biomed Central to Springer.
With this new arrangement there will be no article processing charges for journal
submission. Currently, HISS is indexed by ESCI or SCIE. For the author instructions,
please refer to the journal webpage for more information:
https://link.springer.com/journal/13755.