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Volume 29 (2008)
- Issue 2 Pages 61-
- Issue 1 Pages 1-
- Issue Special_Issue_2･･･
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Volume 29, Issue Special_Issue_2
Displaying 1-5 of 5 articles from this issue
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Hiroe Tsubaki, Toshihiko Morikawa2008 Volume 29 Issue Special_Issue_2 Pages S131-S132
Published: December 15, 2008
Released on J-STAGE: September 25, 2011
JOURNAL FREE ACCESSDownload PDF (365K) -
—Role of Qualitative Choice Modeling in Quantitative Risk Assessment—Hiroe Tsubaki, Tadashi Ono2008 Volume 29 Issue Special_Issue_2 Pages S133-S141
Published: December 15, 2008
Released on J-STAGE: September 25, 2011
JOURNAL FREE ACCESSThe paper clarifies the importance of pre-analysis to identify the specific populations with extraordinary high or low risk before usual quantitative risk assessment model fitting. An illustrative example is shown to explain our idea and proposed procedures.View full abstractDownload PDF (683K) -
Sadaaki Miyamoto2008 Volume 29 Issue Special_Issue_2 Pages S143-S153
Published: December 15, 2008
Released on J-STAGE: September 25, 2011
JOURNAL FREE ACCESSThe basic concepts of risks and different approaches to risk management are overviewed. It is shown that the basic concepts of risks include both positive and negative meaning with uncertainty, and academic literature deffnes risks to be measures of uncertainty and the scale of hazards or utility. Hence risks have quantitative measures for the most cases. Decision making is always with risks and there are several different approaches to decision making with risks, some of which are overviewed herein. The issues of risk cognition, risk communication, and nonstandard methods of risk analysis such as fuzzy sets and modal logic are also discussed. The concepts of inverse problems and risk literacy are emphasized.View full abstractDownload PDF (489K) -
—Data Mining Approaches—Shusaku Tsumoto, Shoji Hirano, Yuko Tsumoto2008 Volume 29 Issue Special_Issue_2 Pages S155-S176
Published: December 15, 2008
Released on J-STAGE: September 25, 2011
JOURNAL FREE ACCESSHosptial information system (HIS) collects all the data from all the branches of departments in a hospital, including laboratory tests, physiological tests, electronic patient records. Thus, HIS can be viewed as a large heterogenous database, which stores chronological changes in patients' status. This paper overviews three applications of data mining and statistical methods to HIS. First, clustering of temporal sequences based on multiscale matching was applied for grouping chronic hepatitis. Second, decision tree method was used for detection of risk factors, which was successfully used to prevent nursing medication errors. Finally, several linear models were applied for hospital management data. These results show that data mining methods, including decision tree mining, temporal data mining, are useful for detection of risk factors from large distributed data such as HIS, whose process can be called risk mining.View full abstractDownload PDF (3533K) -
— Focused on the Risk of Environmental Chemicals —Yukio Matsumoto, Michi Matsumoto2008 Volume 29 Issue Special_Issue_2 Pages S177-S189
Published: December 15, 2008
Released on J-STAGE: September 25, 2011
JOURNAL FREE ACCESSThe concepts and characteristics of environmental risks are described, and then the roles and the significance of risk assessment are given as scientific measures against environmental risks. The assessment methods for the risks due to chemicals in the environment, which was first recognized historically as environmental risk, are discussed intensively especially from the statistical viewpoint.View full abstractDownload PDF (566K)
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