Abstract: Provided is an integration device that is accessible to statistical information based on analysis target data of each of a plurality of analysis target devices and includes a processor configured to execute a program and a storage device configured to store the program. The integration device executes acquisition processing of acquiring first statistical information and second statistical information from a plurality of pieces of statistical information, integration processing of integrating the first statistical information and the second statistical information acquired by the acquisition processing by statistical processing based on the number of first data of first analysis target data used for statistical processing of the first statistical information and the number of second data of second analysis target data used for statistical processing of the second statistical information, and output processing of outputting integration statistical information obtained by the integration processing.

Abstract: An analysis system that analyzes an effect of a diagnosis and treatment action and measure is implemented by a computer including an arithmetic device configured to execute predetermined processing and a storage device connected to the arithmetic device. The analysis system includes: an input unit configured to receive an analysis condition; an event detection unit configured to extract a disease developing event; and a cost calculation unit configured to calculate a cost of a diagnosis and treatment action related to a disease name to be analyzed that is generated after a period of the disease developing event extracted by the event detection unit.

Abstract: Provided is an analysis system that presents an effective diagnosis and treatment act for each patient. The analysis system includes an evaluation index calculation unit that calculates an index value indicating medical care quality based on received medical care act data and clinical data, a cost calculation unit that calculates, by using medical cost data, costs of a medical care act that relate to a disease name to be analyzed and are generated after a period of a detected disease developing event, and an extraction unit that extracts, by using at least one of the calculated index value and the calculated costs, the received medical care act and clinical data of a patient to be analyzed and an extracted correlation, a medical care act to be recommended to the patient to be analyzed.

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: The present invention enables evaluation of insulin secretion ability by a simpler method. A device for analyzing insulin secretion ability that comprises: an input unit inputting at least a fasting blood sugar level and an HbA1c level; an estimated HbA1c calculation unit calculating an estimated HbA1c level from the inputted fasting blood sugar level and HbA1c level; and an evaluated insulin secretion ability calculation unit calculating an evaluated insulin secretion ability on the basis of the HbA1c level inputted by the input unit and the estimated HbA1c level calculated by the estimated HbA1c calculation unit.

Abstract: An objective is to provide a method and an apparatus for accurately extracting a region of an object particle from a urine particle image obtained by taking an image of urine particles in a urine specimen having varying properties. First, a first object region is extracted using one or more of an R image, a G image, and a B image of a urine particle image taken by an image input optical system configured to input particle images. Then, a density distribution and a size of the first object region of one or more of the R image, the G image, and the B image are calculated. Based on these feature parameters, the first object region is classified into a predetermined number of groups. A second object region is extracted from a local region including the first object region, by using one or more of the R image, the G image, and the B image, depending on each of the groups.

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: The invention is an exercise effect analysis system for analyzing and displaying an exercise effect on the basis of lung function information of a user. The exercise effect analysis system includes: an input unit for inputting at least exercise information and lung age information of the user; an exercise amount change calculation unit for calculating an exercise amount change amount that is a difference between first exercise information and second exercise information inputted in the input unit; a lung age change calculation unit for calculating a lung age change amount that is a difference between first lung age information and second lung age information; and an output unit for displaying the lung age change amount and at least one of the exercise information of the user and the exercise amount change amount.

Abstract: It is provided an analysis system comprising a processor executing a program and a memory storing the program. The analysis system further comprises a data mapping unit controlling the processor to set an attractive force and a repulsive force acting between the instances based on the similarity information between data, and arranging the instances in a vector space having a certain number of dimensions so that an energy caused by the attractive force and the repulsive force is less than a threshold defined in advance, and a clustering unit classifying the instances arranged in the vector space. The data mapping unit is configured to virtually add one dimension to the vector space, add a minute fluctuation to coordinates of the instances in a direction of the added dimension, and calculate a minimum number of dimensions of the vector space where the instances are stable with respect to the minute fluctuation.

Abstract: It is provided an analysis system comprising: a causation/transition structure calculating unit generating a graph structure including a node and a probability variable relating to item, and a probabilistic dependency defined by one of a directed link or an undirected link between the nodes; a node generating unit generating an event space of the nodes; a probability calculating unit calculating a conditional probability of the graph structure; a state transition model reconstructing unit reconstructing a state transition model with a graph structure, an event space and a conditional probability including specified probability variables based on a state transition model; a disease state transition estimating unit estimating a disease state transition probability based on the reconstructed state transition model; and a health guidance supporting unit selecting a subject for health guidance and a content of health guidance based on the estimated disease state transition probability.

Abstract: It is provided an analysis system comprising: an input unit to receive a medical cost of a insured person, intervention information on a provision of an intervention service and a start date of the intervention service; a propensity score calculation unit to analyze a relationship between the medical cost before the provision of the intervention service and the intervention information, and to calculate a propensity score of an intervention group and a propensity score of a nonintervention group; and an adjusted medical cost calculation unit to calculate adjusted medical costs of the intervention group before and after the provision of the intervention service by using the propensity score of the intervention group and medical costs of the intervention group before and after the provision of the intervention service, and to calculate adjusted medical costs of the nonintervention group before and after the provision of the intervention service.

Abstract: A metabolic energy monitoring system is provided which comprises: a wearable device having a movement sensor, a temperature sensor and a pulse wave sensor and adapted to be worn on a human body; a database to store activity state decision knowledge data including activity state decision condition data and calorie consumption calculation knowledge data including a calorie consumption calculating algorithm for each metabolic state; an activity state decision unit to determine the activity state based on a detection signal from the wearable device and activity state decision knowledge data; a metabolic state decision unit to detect an activity continuation state, and determine the metabolic state; a calorie consumption calculating unit to calculate a calorie consumption according to the metabolic state; and an output unit to output the calorie consumption.

Abstract: Improvement is made in efficiency of positioning between images when comparing a plurality of images to perform a radiographic image interpretation in an image diagnosis assisting apparatus. An image diagnosis assisting apparatus, which assists an image diagnosis by use of registration among a plurality of images, comprises: a radiographic image interpretation terminal (104) for executing the registration; and storage devices (101, 103) for storing model images and the like to be used for the registration. The radiographic image interpretation terminal (104) executes the registration among the plurality of images by use of a positioning reference area, which was defined beforehand in a model image selected on the basis of both a purpose of checking the plurality of images and a part of interest and also by use of parameters of the registration determined on the basis of a manipulation of checking the plurality of images.

Abstract: A safety and health information reporting system including a wearable device, a metabolic index calculating part, an activity index calculating part, a safety and health status determining part and a determination result output part. The wearable device is worn by a living body. The metabolic index calculating part calculates a metabolic index which represents energy consumption of the living body, based on a detection signal of the wearable device. The activity index calculating part calculates an activity index representing an activity amount of the living body on a daily basis. The safety and health status determining part which determines a safety and health status of the living body, based on a comparison of the metabolic index and the activity index. The determination result output part outputs a determination result of the safety and health status determining part.

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: An objective is to provide a method and an apparatus for accurately extracting a region of an object particle from a urine particle image obtained by taking an image of urine particles in a urine specimen having varying properties. First, a first object region is extracted using one or more of an R image, a G image, and a B image of a urine particle image taken by an image input optical system configured to input particle images. Then, a density distribution and a size of the first object region of one or more of the R image, the G image, and the B image are calculated. Based on these feature parameters, the first object region is classified into a predetermined number of groups. A second object region is extracted from a local region including the first object region, by using one or more of the R image, the G image, and the B image, depending on each of the groups.

Abstract: A metabolic energy monitoring system is provided which comprises: a wearable device having a movement sensor, a temperature sensor and a pulse wave sensor and adapted to be worn on a human body; a database to store activity state decision knowledge data including activity state decision condition data and calorie consumption calculation knowledge data including a calorie consumption calculating algorithm for each metabolic state; an activity state decision unit to determine the activity state based on a detection signal from the wearable device and activity state decision knowledge data; a metabolic state decision unit to detect an activity continuation state, and determine the metabolic state; a calorie consumption calculating unit to calculate a calorie consumption according to the metabolic state; and an output unit to output the calorie consumption.

Abstract: It was difficult for previous health management support systems to grasp daily health condition quantitatively through using comprehensive indexes of personal health conditions, optimize advice as healthcare guidance, and show its expected effect in a favorable way. The disclosed method and system implement the following: estimating a predicted period of healthy life expectancy of each person who underwent health screening from health screening report data obtained through the health screening report data entry step, wherein healthy life expectancy prediction data is used that is prepared as basic data for predicting healthy life expectancy from a diversity of health screening report data. The predicted period of healthy life expectancy and related information for each person are displayed by display means or printed out by printing means.

Abstract: A method for deciding items and parameters for selection of health guidance receivers, and a method for readjusting the method. To that end, there is provided a health service support system including a routine for computing a health guidance effect on a time-series basis by the category obtained by combining the items and dividing value candidate with the items and dividing value candidate on the basis of the health checkup data units, the health guidance data units, and the medical fee receipt data units, a routine for computing a feature quantity, in the form of an approximate straight line, from the time-series health guidance effect, a routine for selecting at least one item and parameter from the items and dividing value candidates, on the basis of the feature quantity, and a routine for creating a health guidance model associated with the order of priority in health guidance, using the items and parameters, as selected.