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JCSE, vol. 2, no. 2, pp.161-161, June, 2008
DOI:
Preface for the special issue on Knowledge Discovery and Management in Health Informatics
Min Song and Illhoi Yoo
New Jersey Institute of Technology, USA|University of Missouri-Columbia School of Medicine, USA
Abstract: One of fundamental issues that healthcare/biomedical researchers encounter today is how
to make use of the enormous amount of electronic healthcare and biomedical data. Knowledge
discovery from Healthcare data holds great promise to improve the quality of patient care,
prevent potential medical errors, and reduce healthcare cost. In addition, this may enable
the practices of medicine to be data-driven and accelerate the practice of evidence-based
medicine. Establishing a methodology for knowledge discovery and management of large
amounts of health/biomedical data has therefore become a main priority in health informatics
and biomedicine. To accomplish this objective, both practical applications and theoretical
research will be essential.
The International Workshop on Knowledge Discovery and Management in Health Informatics
(KDMHI), in conjunction with the IEEE International Conference on Bioinformatics and
Biomedicine (BIBM) 2007, provided an important forum for disseminating state-of-the-art
research results on health informatics, for discussing interesting and challenging research
issues and for sharing hands-on experience in developing and applying health information
technologies to biomedical domain.
The workshop received 8 papers and the workshop program committee accepted 3 papers
for oral presentation at the workshop. The guest editors selected 2 of the workshop papers
and invited the authors of these two papers to submit extended versions of their papers to
this special issue. The editors called for additional papers. The following 3 papers were
accepted after a rigorous review process and were revised based on reviewer comments.
- Lessons From Developing an Annotated Corpus of Patient Histories
Thomas Brox Røst, Ola Huseth, Øystein Nytrø, and Anders Grimsmo
- Linking Clinical Events in Elderly to In-home Monitoring Sensor Data: A Brief Review
and a Pilot Study on Predicting Pulse Pressure
Mihail Popescu and Elena Florea
- Bayesian Value of Information Analysis with Linear, Exponential, Power Law Failure
Models for Aging Chronic Diseases
Chi-Chang Chang
The guest editors are grateful to the workshop program committee, the BIBM program cochair,
Xiaohua Tony Hu, and the JCSE co-editor-in-chief, Il-Yeol So
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