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T Yasaka

Publications and source records attributed to T Yasaka.

45 records · Page 3Linked to original sources
PubMedDate not supplied

The long-term quality control and clinical data evaluation of individuals in AMHTS.

A new aspect of clinical data evaluation has been revealed by our recent research on the membership of AMHTS--long-term quality control (LTQC). The state of LTQC is evaluated by the distribution of mu, where mu is (mean minus micro 0) square root n minus/sigma 0, n is the number of the samples taken each day, mean is the mean of each day's samples, and sigma 0 and micro 0 are population deviation. Correction methods have been developed to obtain reasonable correction factors against the long-term analytic errors, and they have been implemented as an on-line, real-time subsystem of the AMHTS information system. The correction of LTQC errors has enabled us to observe an individual's health dynamics accurately, which allows us to pursue detection methods of diseases, such as cancer, in terms of a homeostatic disorder.

Blood Chemical Analysis↗
PubMedDate not supplied

Estimation of subject-specific normal ranges based on some statistical models of an individual's physiological variations.

Three statistical models of the individual's physiological variations, proposed by Dr Eugene K. Harris, were applied to the long-term series of individual test results in our health control system. It was found from this study that, in most cases, the homeostatic model shows the best fit to the population level from comparing correlation coefficients between the observations and estimations made based on Harris's three models. It was also found that for most cases, the homeostatic model gives the most reliable estimates in individual's level from the comparison of the chi-square values between the observations and estimations made for the individual's successive test results. Further, for a group of members with hyperglycaemia, the proportion of individuals in whom the random-walk model produced the most accurate predictions was increased to the proportion in the normal group. In the age group under 39 years of age, the autoregressive model showed a relatively high degree of predictive success, while the homeostatic model showed a relatively low degree in comparison with the results found in other age groups. From these investigations, it was found that the physiologically normal state shows strict homeostatic stability.

Female↗