Abstract: There is a need for more accurate and more efficient predictive data analysis steps/operations. This need can be addressed by, for example, techniques for efficient predictive data analysis steps/operations. In one example, a method includes generating, by a processor, utilizing a risk determination machine learning model and based at least in part on one or more hidden features of the first predictive entity, the predicted risk measure, and performing one or more prediction-based actions based at least in part on the predicted risk measure.

Abstract: Various embodiments of the present invention disclose techniques for optimizing a plurality of machine-learning based models for an end-to-end investigative process. The techniques include generating a profile for an input data object associated with an investigative process. A first machine-learning based model is used to select a predictive data analysis sub-routine for processing the profile. A second machine-learning based model is used to determine a predictive entity for performing an investigative process for the profile. An investigative outcome is received from the predictive entity. A historical optimization data object is augmented with the investigative outcome, the profile, the predictive data analysis sub-routine, or the predictive entity and the first machine-learning based model and the second machine-learning based model are trained using the historical optimization object.

Abstract: Various embodiments of the present invention disclose techniques for orchestrating a complex data processing scheme for an investigative process using a machine-learning based orchestration model that is trained to optimize the use of computing resources based at least in part on a feedback loop. An input data object associated with an investigative process can be selected for investigation; a predictive data analysis sub-routine for processing the input data object can be intelligently selected from a plurality of predictive data analysis sub-routines by the machine-learning based orchestration model; and a processing orchestration action can be initiated based at least in part on an investigative score output by the predictive data analysis sub-routine. The processing orchestration action can include closing the input data object, continuing to process the input data object with additional predictive data analysis sub-routines, or passing the input data object to a predictive entity for further processing.

Abstract: Systems, methods, and apparatuses for detecting and identifying anomalous data in an input data set are provided.

Abstract: A bymixer device and method which provides fast-response, accurate measurements of mixed inspired and/or expired gas fractions in open or closed ventilation circuits and/or in circle circuits used in anesthesia and/or critical care. The bymixer device may include a main flow channel and a bypass flow channel. The bypass flow channel includes a flow-restrictor (e.g, an orifice) that partially blocks the flow of respiratory gas through the bypass flow channel, a mixing chamber positioned upstream of the flow restrictor and a sampling apparatus (e.g., a port for withdrawing samples of gas from said mixing chamber and/or sensor(s) positioned within the mixing chamber).

Abstract: A system and method for determining the volume of oxygen taken up by the lungs of a human or veterinary patient. A closed ventilation circuit is connected to a spirometric device, which contains a quantity of oxygen. As oxygen is taken up by the patient, an equivalent volume of oxygen passes from the spirometric device into the ventilation circuit. The volume of oxygen that moves from the spirometric device may thus be measured as an indication of the volume of oxygen that has been taken up by the patient. In some embodiments, a source of make-up oxygen is connected to the ventilation circuit and the flow of make-up oxygen is adjusted as necessary to maintain a substantially constant volume of oxygen in the spirometric device. The volume of make-up oxygen is measured and serves as an indication of the amount of oxygen taken up by the patient. A valve may be used to close the spirometric device off from the ventilation circuit during all but a part of the ventilation cycle (e.g.

Abstract: Apparatus for producing a light mask for balancing light across a display area of a vehicle instrument cluster comprises a camera, a digitiser and a computer. An image of the display area is obtained and digitized to produce data relating to the illumination levels of the image at a plurality of pixels. The illumination levels are used to calculate an appropriate light mask for the display area on the basis of the transmissive density of the masking ink used and or a reference illumination value relating to the least lit part of the display area which it is desired to illuminate. The light mask comprises an array of dots having a diameter related to the amount of attenuation required in the area in which the dot is located. Up to three masking layers may be provided if a single layer is insufficient to produce the required attenuation with the chosen masking ink. Balanced coverlays can readily be produced, and the number of masking layers required can also be reduced.