Abstract: A medical data presentation apparatus comprises processing circuitry and at least one display device, the processing circuitry configured to: obtain medical data relating to a patient or other subject; display on the at least one display device at least some of the medical data on a first presentation panel of a plurality of presentation panels; receive from a user a selection of at least one feature of the first presentation panel; and, in response to the selection of the at least one feature, highlight at least one feature on a second presentation panel of the plurality of presentation panels, the second presentation panel having a different type of data presentation than the first presentation panel.

Abstract: A medical data presentation apparatus comprises processing circuitry and at least one display device, the processing circuitry configured to: obtain medical data relating to a patient or other subject; display on the at least one display device at least some of the medical data on a first presentation panel of a plurality of presentation panels; receive from a user a selection of at least one feature of the first presentation panel; and, in response to the selection of the at least one feature, highlight at least one feature on a second presentation panel of the plurality of presentation panels, the second presentation panel having a different type of data presentation than the first presentation panel.

Abstract: A system for allocating hall calls in a group of elevators includes a plurality of neural network modules to model, learn and predict passenger arrival rates and passenger destination probabilities. The models learn the traffic occurring in a building by inputting to the neural networks traffic data previously stored. The neural networks then adjust their internal structure to make historic predictions based on data of the previous day and real time predictions based on data of the last ten minutes. The predictions of arrival rates are combined to provide optimum predictions. From every set of historic car calls and the optimum arrival rates, a matrix is constructed which stores entries representing the number of passengers with the same intended destination for each hall call. The traffic predictions are used separately or in combination by a group control to improve operating cost computations and car allocation, thereby reducing the travelling and waiting times of current and future passengers.