Abstract: A medical information processing device according to an embodiment includes processing circuitry. The processing circuitry is configured to acquire biometric information on a patient, detect a trend change in the biometric information at a predetermined timing on a basis of time-series data regarding the biometric information, and determine whether the trend change is due to a measurement error in the biometric information or due to a change in a condition of the patient.

Abstract: According to one embodiment, a medical information processing apparatus includes a processing circuitry. The processing circuitry determines respective medical information pieces as display candidates based on a plurality of support information pieces, and respective weights of a plurality of medical information pieces. The processing circuitry decides whether or not to integrate the respective medical information pieces based on the respective medical information pieces as the display candidates, and the plurality of support information pieces. The processing circuitry determines an arrangement of medical information pieces based on the plurality of support information pieces as a result of the decision.

Abstract: An information processing device of an embodiment includes processing circuitry. The processing circuitry is configured to acquire a global model based on data sets regarding a plurality of cohorts, acquire a local model based on a first data set regarding at least one first cohort among the plurality of cohorts, calculate a weight based on a first data distribution with respect to the first data set and a second data distribution with respect to a second data set regarding the plurality of cohorts, and calculate an index value regarding the global model on the basis of the first data set and the weight.

Abstract: A learning system includes processing circuitry. The processing circuitry is configured to acquire a first data distribution for a first data set out of data sets based on a first cohort, to select a second cohort that is used to update a first model out of a plurality of second cohorts on the basis of the acquired first data distribution, and to update the first model on the basis of at least part of a second data set out of data sets based on the selected second cohort.

Abstract: A medical information processing apparatus comprises processing circuitry. The processing circuitry extracts a character string having clinical meaning from first medical data indicating text data included in medical information, as a topic indicating a reference viewpoint of the medical information. The processing circuitry selects one of the topics from the extracted topics according to a user input. The processing circuitry, among second medical data that includes one or more pieces of data representing a condition of a subject to be examined and that is included in the medical information, performs control of displaying the second medical data related to one of the selected topics on a display device.

Abstract: A medical information processing apparatus according to an embodiment includes a processing circuitry. The processing circuitry is configured to acquires one or more first images that are images of parts obtained by classifying a subject appearing in a medical image into each part, generates, from the acquired one or more first images, a second image that is an image of the subject spatially continuous according to an anatomical criterion, and synthesizes the generated second image with a background to generate a third image.

Abstract: A diagnosis and treatment support system according to an embodiment has a storage apparatus and processing circuitry. The storage apparatus stores a trained model that infers information related to a state of a patient from an examination value for a predetermined examination item. On the basis of correlations between examination values for plural examination items included in diagnosis and treatment information on plural patients, the processing circuitry calculates a conversion function that enables statistical derivation of a value from an examination value or values for one or plural examination items, and generates, on the basis of an inference obtained by inputting an examination value for an examination item included in diagnosis and treatment information on a target patient into the trained model, support information for supporting diagnosis and treatment of the target patient.

Abstract: An absorbent article (1) of the present invention includes a leg cuff (24). The leg cuff (24) has leg elastic members (25). The leg cuff (24) can be divided, by an imaginary line (IL) passing through the center (ct) between an outermost leg elastic member (25s) that is located farthest outward and an innermost leg elastic member (25i) that is located farthest inward, into a leg cuff first region (ST) that extends from the imaginary line (IL) up to and including the outermost leg elastic member (25s) and a leg cuff second region (IT) that extends from the imaginary line (IL) up to and including the innermost leg elastic member (25i). When the elongation amount of the leg cuff first region (ST) and the leg cuff second region (IT) in a natural state is defined as 0, and the elongation amount thereof in a maximally stretched state is defined as 100, the stress in the leg cuff first region (ST) is greater than the stress in the leg cuff second region (IT) when the elongation amount is 5.

Abstract: A leak-proof cuff (28) is divided into a lower region (40) and a upper region (41). The upper region (41) includes a first region (41A) located at the side of a free edge (28B) relative to the center in the width direction (Y) and a second region (41B) located at the side of a folding line (42). In each of the first region (41A) and the second region (41B), at least one elastic member (29) extending along the longitudinal direction (X) is provided in a stretched state. In a case where the elongation of the upper region (41) in a natural state is 0, and the elongation in a maximum stretched state is 100, the stress ?1 of the first region (41A) is larger than the stress ?2 of the second region (41B) at an elongation of 5, and the stress ?2 of the second region (41B) is larger than the stress ?1 of the first region (41A) at an elongation of 100.

Abstract: A CAE analysis method is provided in which a computer is caused to perform modeling in which: a model formed by solid elements is applied for each of the plurality of members, based on given data representing a region to be analyzed of the plurality of members; a model formed by a shell element is applied for each weld joint formed between two members of the plurality of members, based on given data representing a region to be analyzed of the weld joints; and the shell element applied as the model for each weld joint is arranged inside a dihedral between welded surfaces of the two members, and is coupled to the solid elements applied as the model for each of the two members through internode connection such that each solid elements applied for the two members is coupled via rigid elements or beam elements to the shell element respectively.