摘要:
A health condition determining device accumulates data measured or input by an evaluation subject for each index of a plurality of items including a lifestyle index, which is an index related to body activity or lifestyle habit, and a biomarker, which is an index related to physiological state of the body. The health condition determining device then selects one or a plurality of biomarkers that lowers the evaluation of the health condition of the evaluation subject as a problematic index, extracts one or a plurality of lifestyle indices having the highest correlation with the problematic index as an improvable factor by comparing accumulated past data of the lifestyle index and the biomarker, and displays the improvable factor along with the evaluation of the health condition of the evaluation subject.
摘要:
A feature parameter candidate generation apparatus has a storage unit that stores the values of feature parameters extracted from each of samples, an index value calculation unit that calculates an index value, which is obtained by normalizing the number of the kinds of the values of feature parameters by the number of the samples, for each of the feature parameters, an evaluation object selection unit that selects combinations of feature parameters which are objects to be evaluated, an evaluation unit that evaluates whether the uniformity of a frequency distribution of index values of the individual feature parameters for combinations of feature parameters selected as the objects to be evaluated satisfies a predetermined criterion, and a candidate determination unit that determines, as feature parameter candidates to be given to the model generation device, a combination of feature parameters that is evaluated to satisfy the predetermined criterion.
摘要:
A feature parameter candidate generation apparatus has a storage unit that stores the values of feature parameters extracted from each of samples, an index value calculation unit that calculates an index value, which is obtained by normalizing the number of the kinds of the values of feature parameters by the number of the samples, for each of the feature parameters, an evaluation object selection unit that selects combinations of feature parameters which are objects to be evaluated, an evaluation unit that evaluates whether the uniformity of a frequency distribution of index values of the individual feature parameters for combinations of feature parameters selected as the objects to be evaluated satisfies a predetermined criterion, and a candidate determination unit that determines, as feature parameter candidates to be given to the model generation device, a combination of feature parameters that is evaluated to satisfy the predetermined criterion.