Abstract: A system for presenting a daily life schedule based on circadian rhythm includes an information processing device which has a calculation unit for calculating a subjective midnight, the information processing device determines, on the basis of an answer to a question based on a sleep time zone, or measured data, whether the time-of-day data included in the answer includes time-of-day data to be excluded, the information processing device calculates a subjective midnight on the basis of the time-of-day data included in the answer or measured data, if the time-of-day data to be excluded is not included, and the information processing device calculates a subjective midnight on the basis of the time-of-day data included in the answer or measured data in which the time-of-day data to be excluded has been excluded from the time-of-day data included in the answer or measured data, if the time-of-day data to be excluded is included.

Abstract: A personnel management assistance system, based on response results to question items from individuals belonging to an organization or prospective new recruits, as well as on the coefficients of regression assigned to the respective question items, computes their resignation/leave-of-absence probabilities and/or productivity decline risks as numerical values, wherein the personnel management assistance system focuses on the fact that the resignation/leave-of-absence and productivity decline risks of individuals vary depending on their lifestyle habits and sleeping conditions, and performss regression analysis based on a statistically significant number of substantiated results regarding the foregoing to obtain coefficients of regression for the respective question items and then computes the resignation/leave-of-absence and productivity decline risks of individuals as probabilities, so that the outcomes will be effectively utilized in the handling of personnel matters and hiring of new recruits by organizatio

Abstract: There are provided an image acquiring unit (122) for acquiring a plurality of images of a skin of an examination subject which is picked up over a plurality of points of time by an image pickup device (104), a body hair specifying unit (123) for specifying body hair for a growth period of the examination subject from the image with regard to each of the images acquired by the image acquiring unit (122), and a circadian rhythm estimating unit 124 for estimating a circadian rhythm of the examination subject based on a temporal change in a length of the body hair for the growth period which is obtained by specifying the body hair for the growth period from each of the images by the body hair specifying unit 123. Consequently, it is possible to estimate the circadian rhythm of the examination subject from these images by simply acquiring the image of the skin of the examination subject without requiring gene measurement, cell culture, frequent blood collection, analysis in special research facilities or the like.

Abstract: By using profile data of a user, medical interview answer data to a question in a medical interview sheet format, text related data obtained by analyzing free answer data to a question in a free sentence description format, and a weight value calculated for a factor correlated with a disease through regression analysis, an affection probability representing a possibility that the user might be affected with a specific disease is analyzed and a disease having the affection probability which is equal to or greater than a threshold is extracted as a disease candidate. Consequently, a weight value calculated with respect to a factor to be a cause of the extraction as the disease candidate with the affection probability of the threshold or more in past analysis is reflected in the calculation of the affection probability. Thus, the affection probability can be calculated more accurately.