Abstract: A learning program provision system obtains learning history corresponding to each of a plurality of units shown by learning history information, compares the obtained learning history regarding each of the plurality of units and a condition based on at least one of an understanding level and an activity achievement regarding each of the plurality of units with each other, and obtains instruction guidelines corresponding to satisfied conditions from the instruction guideline information; outputs the obtained instruction guidelines to a student terminal used by the student; compares the obtained learning history and a condition based on at least one of the understanding level and the activity achievement with each other, and obtains intervention guidelines corresponding to satisfied conditions from the intervention information; and outputs the obtained intervention guidelines to the student terminal used by the student.

Abstract: An analysis system, which includes a processor and a memory connected with the processor, further includes: a model applying unit that predicts at least one change among changes between the conditions of target persons in the case of an intervention not being followed and the conditions of the target persons in the case of the intervention being followed with reference to the health checkup information, the medical information, and the clinical condition transition models; and a simulation unit that predicts medical care expenses using the conditions predicted by the model applying unit, and calculates the medical care expense of a group to which the target persons belong by aggregating the predicted medical care expenses of the individual target persons. In addition the simulation unit outputs screen data used for displaying the calculated medical care expense of the group.

Abstract: In the event of a suspected abnormality in the device, sample or reagent, a laboratory technician had to examine the abnormal reaction process data item by item, and infer the cause of the abnormality, which took effort and time in some cases. Abnormality judgment is assisted using: indicator computation means that computes an indicator indicating a feature parameter of a given waveform by applying a pre-defined evaluation formula to time series data of photometric values; relative indicator computation means that computes a value indicating a relationship of the indicator of target data to the indicator computed in the past; and indicator display means that simultaneously displays a value computed by the indicator computation means and the value computed by the relative indicator computation means.

Abstract: In the event of a suspected abnormality in the device, sample or reagent, a laboratory technician had to examine the abnormal reaction process data item by item, and infer the cause of the abnormality, which took effort and time in some cases. Abnormality judgment is assisted using: indicator computation means that computes an indicator indicating a feature parameter of a given waveform by applying a pre-defined evaluation formula to time series data of photometric values; relative indicator computation means that computes a value indicating a relationship of the indicator of target data to the indicator computed in the past; and indicator display means that simultaneously displays a value computed by the indicator computation means and the value computed by the relative indicator computation means.

Abstract: A health guidance support system for examinee's health improvement including a health checkup data storage for examinees' data containing levels of health conditions or development of diseases and related risk data collected at a certain time interval, an input unit for a health level and risk data in the present user's condition and a future target level, an extraction unit to extract checkup data satisfying the health level and risk data in the user's present condition at a preceding time point as a first data group and checkup data contained therein and satisfying a target health level at a subsequent time point as a second data group, a computing unit to compute an attainment level of the target health level corresponding to a combination of the risk data at the subsequent time point based on both data groups, and a display unit for the combination and attainment level is provided.