CALL FOR PAPERS
Health Information Science and Systems Special Issue on
Artificial Intelligence in Health Informatics
Artificial intelligence (AI) is the ability of computers to accomplish tasks that are normally completed by intelligent beings such as humans and animals. With the rapid advance of technology, AI techniques are being effectively used in the fields of health to improve the efficiency of treatments and avoid the risks of false diagnosis, the making of therapeutic decisions and the prediction of outcome in many clinical scenarios. Modern health treatments are faced with the challenge of acquiring, analysing and applying the large amount of knowledge necessary to solve complex problems. AI in health mainly uses computer techniques to perform clinical diagnoses and suggest treatments. This special issue will provide a forum for the publication of articles that address broad challenges on both theoretical and application aspects of AI in health Informatics. We invite scholars and researchers to contribute original research articles as well as review articles that will stimulate the continuing effort on the application of AI approaches to solve health problems.
The following topics of this special issue explicitly include, but are not limited to:
• Theories, models and AI tools that help to enhance and drive health information systems • Efficient design of AI algorithms for bioinformatics • Novel AI techniques in medical data processing and analysis; • AI in Health data mining; • AI to address existing and novel clinical applications • Applications of AI methods in health data modelling; • AI in the mental disorder detection; • Applications of AI methods in Brain-Computer Interface; • AI in Computer-Aided Diagnosis systems; • Knowledge engineering in medical data-driven; • Applications of Machine learning techniques & Deep learning in Health Informatics; • AI in Pattern recognition; • Medical data capturing; • Applications of Neural networks in Health Informatics;
Important Dates: Submission due: May 30, 2019 Results of first round: June 30, 2019 Revised paper due: July 30, 2019 Final Decisions: August 2019 *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. For the author instructions, please refer to the journal webpage for more information: https://link.springer.com/journal/13755.
Guest editors: Dr Siuly, Victoria University, Melbourne, Australia Professor Uwe Aickelin, University of Melbourne, Australia Dr Enamul Kabir, University of Southern Queensland, Australia Professor Zhisheng Huang, Wuhan University of Science and Technology, China/ Senior researcher in Vrije University Amsterdam, Netherlands
Short bibliography of the guest editors:
Dr Siuly received her PhD in Biomedical Engineering from the University of Southern Queensland (USQ), Australia in Sep 2012. Currently, Dr Siuly is working as Research Fellow at the Centre for Applied Informatics, College of Engineering and Science, in Victoria University (VU), Melbourne, Australia. Her research interests include Artificial Intelligence, Biomedical Signal Processing and analysis, Health Informatics, Big Data Technologies, Machine Learning, Pattern Recognition, Deep Data Mining. Her research has enabled her to develop some important innovations in these areas, which have been published in top leading journals including IEEE Transactions on Neural Systems and Rehabilitation Engineering, IEEE Access, IEEE Transactions on Emerging Topics in Computational Intelligence, Engineering Applications of Artificial Intelligence, Neurocomputing, and Computer Methods and Programs in Biomedicine etc. Currently, she is a managing editor of Health Information science and Systems and also an editorial board member of three journals: Journal of Autonomous Intelligence; International Epilepsy Journal; and International Journal of Clinical & Medical Informatics (IJCMI). She is a member of The Institute of Electrical and Electronics Engineers (IEEE) and Institute of Complex Medical Engineering (ICME).
Professor Uwe Aickelin is the Head of School of Computing and Information Systems at the University of Melbourne. Prior to this role he was Vice-President at the University of Nottingham Ningbo China and Head of School of Computer Science at the University of Nottingham. He also served for many years as a strategic adviser on Artificial Intelligence to the UK Research Councils and Government. Professor Aickelin has worked for more than twenty years in the fields of Artificial Intelligence, Optimisation and Datamining. His specific expertise is in the modelling stages of problems with a focus on robust methods to overcome uncertainty. He has authored over 200 papers in leading international journals and conferences (Google citations 9000, H-index 50) and participated in over 100 international conference programme committees. Since 2007 he has been an associate editor of the leading international journal in his field (IEEE Transactions on Evolutionary Computation).
Dr Enamul Kabir obtained his PhD degree from the University of Southern Queensland (USQ) in 2011. Currently he is working as a Lecturer (in Statistics) at the same institute. Dr Kabir greatly contributed to the research in the field of Data Mining, Public Health, Applied Statistics, Biostatistics and Health Informatics through innovative research work. He has achieved a good publication record during his research career. His research articles have been published by the world leading journals e.g., Children and Youth Services Review, International Journal of Computational Intelligence Systems, Plos One, Defence and Peace Economics, Archives of Public Health, Future Generations Computer Systems, American Journal of Preventive Medicine, IEEE Transactions on Cloud Computing, International Journal of Obesity, Information Systems Frontiers, Acta Informatica, and Expert Systems with Applications etc. Dr Kabir received USQ Publication Excellence Award in 2017.
Professor Zhisheng Huang is a tenured senior researcher at the department of Artificial Intelligence of VU University Amsterdam, Netherlands, and a full professor at the School of Computer Science and Engineering of Wuhan University of Science and Technology, China. Prof. Huang obtained the doctorate degree in computer science and logics in the University of Amsterdam in 1994. He has published more than 200 papers, and more than 9 books in Artificial Intelligence, logics, and multimedia. He received the best paper award for the paper entitled “Feasibility Estimation for Clinical Trials” at the 2014 International Conference on Health Informatics (HEALTHINF/BIOSTEC).