The OECD evaluates the performance of the health systems of its 35 member countries relative to the mean values of 22 indices, but does not evaluate the set of all 22 indices taken together. A set evaluation was therefore attempted by use of the Mahalanobis-Taguchi system with a unit space having only one member（one-member T method）. Two cases were considered: （1）use of the set of mean values of the 22 indices as the unit space, and（2）use of the set of best values of the 22 indices as the unit space. The transferability S/N ratio was calculated for each case, and the correlation between the transferability S/N ratio and the mean life expectancy at birth, which is the most frequently used indicator of health, was investigated. When the best values were used as the unit space, the coefficient of correlation between the mean life expectancy at birth and the transferability S/N ratio was 0.664 3, indicating a stronger correlation than when the mean values were used. The one-member T method with the best values set as the unit space was therefore thought to be useful in evaluating OECD health system performance.

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It is unfortunate that although applications of the Mahalanobis-Taguchi system are starting to appear in various fields, their use could not be called widespread. One problem has been the lack of specific case study reports; another is the technical issues that make them difficult to apply. The medical field is one field in which wider application of the MT system is hoped for. The present study concerns the data preparation methods necessary for the interpretation of electrocardiograms. Diagnostic methods such as the recognition Taguchi (RT) method, the error root mean square method, and the transferability method have already been used, but here we propose the use of the both-sides T method. With this method, we found that it would be possible to proceed efficiently from diagnosis of disease through confirmation of treatment effect by use of a unified analytic formula. The data used were twelve-lead electrocardiogram images available on the Internet. After obtaining the consent of the image providers, we used the images by converting them to pixel counts.

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