Abstract: A medical information providing method including: acquiring first injury-or-disease information that indicates a type of an injury-or-disease; accessing a storage device that stores, for each provider of a plurality of providers each of which provides medical service, identification information of the provider, and injury-or-disease treatment information, the injury-or-disease treatment information including information on a type of an injury-or-disease for which the provider has an experience of treatment or that the provider is able to treat, and information on a type of treatment; extracting, for each provider of the plurality of providers, from the storage device, the injury-or-disease treatment information that includes information on a type of injury-or-disease corresponding to the first injury-or-disease information; and in a case where the information on a type of treatment included in the injury-or-disease treatment information extracted for each provider of the plurality of providers satisfies a cri

Abstract: A display method includes accepting designation of a first workflow, first counting, by applying a plurality of objects to the first workflow, a number of object distributed by an element of a conditional branch of the first workflow for each of element at an end out of elements included in the first workflow, second counting, by applying the plurality of objects to a second workflow that is different from the first workflow, a number of objects distributed by an element of a conditional branch of the second workflow for each of element at an end out of elements included in the second workflow, and displaying the number of objects distributed to an element at the end, associating with the element at the end, for each of the first workflow and the second workflow, by a processor.

Abstract: A computer-implemented method of performing planning processing, the method including: acquiring information of a menu of a predetermined service and information of a stakeholder related to the service; calculating a change frequency of execution of the menu for a combination of the stakeholder and the menu; specifying a menu to be recommended on the basis of the calculated change frequency; and outputting the specified menu to the stakeholder of the calculated combination.

Abstract: A determination device includes: a memory; and a processor coupled to the memory and configured to: obtain sensor data on motion of a device from a plurality of sensors, extract, from the sensor data, data related to an anomaly based on a threshold value used in detecting the anomaly with use of the sensor data, convert the data related to the anomaly into structural data having a graph structure focusing on an analogous relationship between or among the plurality of sensors, and generate a classifier that identifies a cause of the anomaly with use of the structural data.

Abstract: A non-transitory computer-readable storage medium storing a program that causes a processor included in an impact calculation device to execute a process, the process includes calculating a plurality of gradient values, each of the plurality of gradient values is a gradient value corresponding to each of a plurality of sampling points of a nonlinear regression model, and calculating, as an impact, a root-mean-square of which a first gradient value included in the plurality of the gradient values at a first sampling point included in the plurality of sampling point and a second gradient value at a one or more sampling point within a predetermined range around the first sampling point.

Abstract: A determination device includes: a memory; and a processor coupled to the memory and configured to: obtain sensor data on motion of a device from a plurality of sensors, extract, from the sensor data, data related to an anomaly based on a threshold value used in detecting the anomaly with use of the sensor data, convert the data related to the anomaly into structural data having a graph structure focusing on an analogous relationship between or among the plurality of sensors, and generate a classifier that identifies a cause of the anomaly with use of the structural data.

Abstract: A learning device includes: a memory; and a processor coupled to the memory and the processor configured to execute a process, the process comprising: generating a probability distribution with respect to each of devices, from first sensor data for learning obtained from a sensor provided in each of the devices; calculating a difference degree among each group of the probability distributions; generating a probability model by synthesizing a group of which the difference degree is less than a threshold into a single probability distribution, multiplying each coefficient with each of the probability distributions, and adding resulting probability distributions to each other; and generating a standard for abnormality determination from the probability model.

Abstract: A control system solves a drawback which would occur when a shift lever is returned from N-position to D-position (or any Forward position) after a previous shifting from D-position to N-position. The control system comprises a first control device for deriving and memorizing a suitable gear position of the transmission which is to be selected under a driving condition which has been assumed by the vehicle just before the return movement of the shift lever; and a second control device for forcing the transmission to take the memorized gear position upon completion of the return movement of the shift lever.