Knowledge Discovery and Management in Biomedical Information Systems 数据挖掘研究院
A Special Issue with
INFORMATION SYSTEMS FRONTIERS 数据挖掘研究院
Overview
The rapid growth of research and development using different advanced techniques, e.g. AI and Machine Learning, in biological and medical information systems has drawn worldwide attention on the management of knowledge discovered in, for instance, gene databases and public healthcare portals. However, challenges remain from various fundamental issues, e.g. difficulty in data acquisition and heterogeneity of biological information, to the lack of methodology that supports the fusion, processing and management of abundant biomedical and genomic data and eventually the management and interpretation of knowledge that arises from such discoveries for the purpose of problem solving and decision making in translational medicine, e.g. clinical medical practice. Therefore, the goal of this special issue is to attract scientific researchers and professionals in various backgrounds, e.g. computer science, biomedical informatics, information system, health care, biomedical science and engineering, and industrial system, to share their latest research endeavors and explore the frontiers of cutting-edge research of knowledge discovery and management in biomedical information systems. 数据挖掘实验室
Topics and Scopes 数据挖掘研究院
Interesting topics include, but are not limited to, 数据挖掘研究院
· Information modeling in health care and biomedical systems
· Health information technology\Information & Communication Technology in biomedical science
· Medical image retrieval and mining
· Data\Tex\Web\Multimedia mining in bioinformatics, medical and health care 数据挖掘研究院
· AI based clinical decision support
· Social network mining in health care
· Biomedical data acquisition and system engineering
· Knowledge guided Human Computer Interaction in biomedical and health care professions
· Knowledge based drug discovery and design (personalized drugs)
· Semantic web and the management of biomedical and health care literature 数据挖掘研究院
· Ontology induction and management in biological and medical professions
· Ontology based biomedical and health care mining and application 数据挖掘研究院
· Biological database integration and management 数据挖掘研究院
· Computational genomics and related health assessment 数据挖掘实验室
· Radio-frequency identification (RFID) and mobile database, computing and management in biomedical
· Privacy and legal issues in medical information and knowledge management systems 数据挖掘研究院
· Case study
· … 数据挖掘研究院
The target audience of this special issue includes academic researchers, engineers, professionals working on the relevant topics in computer science, information system, biological, medical and health care professions, and industrial systems and the graduate students who wish to learn and spot the research opportunities in this rapidly growing area. 数据挖掘研究院
Important Dates
§ Announcement of CFP, 1st Nov, 2007 数据挖掘研究院
§ Manuscript submission deadline, 1st March, 2008
§ First Review to be completed, 1st June, 2008 数据挖掘实验室
§ Notification to authors, 15th June, 2008 数据挖掘研究院
§ Deadline for receipt of revisions: 1st August, 2008
§ Second review to be completed, 1st October, 2008
§ Notification to authors, 15th October, 2008
§ Final version, 15th November, 2008 数据挖掘研究院
§ Publication, early-mid 2009. 数据挖掘研究院
Submission
All papers must be original and are not published, submitted and/or currently under review elsewhere. Each submission will be peer reviewed according to the ISF’s standard and requirement.
Authors are first invited to forward a brief intent which clearly addresses the main content, issues and potential contributions of your final manuscript to the Guest Editors before 31st December, 2007. For the manuscripts, authors should follow the ISF’s format requirement, in preparing their full papers. More details can be found at http://www.som.buffalo.edu/isinterface/ISFrontiers/ or at Springer’s Instructions for Authors.
Please direct all your correspondence, intent and manuscript submissions to the Guest Editors through email. We will acknowledge you upon our receipt of your intent and full paper. 数据挖掘研究院
Guest Editors 数据挖掘研究院
Ying LIU (PhD)
Lecturer
Department of Industrial and Systems Engineering 数据挖掘研究院
Hong Kong Polytechnic University
Email: mfyliu@polyu.edu.hk
http://myweb.polyu.edu.hk/~mfyliu/ 数据挖掘研究院
Lawrence Wing-Chi CHAN (PhD)
Assistant Professor
Department of Health Technology and Informatics 数据挖掘研究院
Hong Kong Polytechnic University 数据挖掘研究院
Email: htlchan@inet.polyu.edu.hk
http://www.polyu.edu.hk/hti/astaff_CV/Lawrence.htm
Chi-Ren Shyu (PhD)
Associate Professor 数据挖掘研究院
Department of Computer Science &
Institute of Informatics 数据挖掘研究院
University of Missouri-Columbia
Email: shyuc@missouri.edu 数据挖掘研究院
http://diglib1.cecs.missouri.edu/peopledetail.php?ppid=1 数据挖掘研究院
Ying Liu (PhD)
Assistant Professor
Department of Computer Science &
Department of Molecular and Cell Biology 数据挖掘研究院
University of Texas at Dallas 数据挖掘研究院
Email: ying.liu@utdallas.edu 数据挖掘实验室
http://www.utdallas.edu/~ying.liu/
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