Abstract: Novel tools and techniques are provided for assessing, predicting and/or estimating a probability that a patent is bleeding, in some cases, noninvasively. In various embodiments, tools and techniques are provided for implementing rapid detection of bleeding before, during, and after fluid resuscitation, in some instances, in real-time.

Abstract: An embodiment of the present invention is directed to implementing machine learning to define business logic and lineage. The system analyzes data patterns of SORs as well as consumption attributes to define the business logic. An embodiment of the present invention may achieve over 95% match rate for complex attributes. When provided with thousands of SOR attributes, the innovative system may identify a handful of relevant SOR attributes required as well as the business logic to derive the consumption attribute.

Abstract: A method, computer system, and computer program for improving communication between a patient and a provider are described. The method, computer system and computer program perform a method that includes: obtaining data related to the health state of a patient; associating a timestamp with the data, encrypting the data and writing the data to a computer readable medium, determining whether the data is in a pre-configured range, and responsive to determining that the data is not in the pre-configured range, sending an alert to a client. This method also includes obtaining a response from the client and writing the response to the computer readable medium, where the response includes a medical recommendation based on the data.

Abstract: An infant feeding system for orally feeding a liquid to an infant is provided. The infant feeding system includes a user interface, at least one sensor for measuring at least one physical property, a memory for storing machine executable instructions, and a processor. Execution of the machine executable instructions causes the processor to: acquire feeding data by measuring the at least one physical property with the at least one sensor; send the feeding data to a feeding database; receive a user response descriptive of feeding conditions from a user interface; send contextual data to the feeding database, wherein the contextual data comprises the user response; receive instructional data from the feeding database in response to the contextual data and the feeding data; and output feeding instructions on the user interface using the instructional data.

Abstract: A system and method for camera-based stress determination. The method includes: determining a plurality of regions-of-interest (ROIs) of a body part; determining a set of bitplanes in a captured image sequence for each ROI that represent HC changes using a trained machine learning model, the machine learning model trained with a hemoglobin concentration (HC) changes training set, the HC changes training set trained using bitplanes from previously captured image sequences of other human individuals as input and received cardiovascular data as targets; determining an HC change signal for each of the ROIs based on changes in the set of determined bitplanes; for each ROI, determining intervals between heartbeats based on peaks in the HC change signal; determining heart rate variability using the intervals between heartbeats; determining a stress level using at least one determination of a standard deviation of the heart rate variability; and outputting the stress level.

Abstract: A system and method for identifying health data associated with a health activity and processing the health data based on protected health information control for secure viewing and communication are provided. The method includes: detecting, by one or more processors, a health activity from a hardware device accessed by a user; identifying, by the one or more processors, health data associated with the health activity; identifying, by the one or more processors, a task to be performed based on the health activity; determining, by the one or more processors, whether the user is an authorized user based on a protected health information control unit; and responsive to the user being authorized, performing the task using the health data for the authorized user.

Abstract: A medication risk mitigation method utilizing three interventions: a prospective intervention performed by a prescriber, a concurrent intervention performed by a pharmacist and a retroactive intervention performed by a pharmacist. At each intervention, the system of the instant invention utilizes a computer program to compare each prescribed medication to a series of intrinsic and extrinsic data sources in order to identify potential contraindications and, if necessary, modify a prescription. The system also permits secure messaging between prescribers and pharmacists, each with access to the computer program, so as to facilitate communication and reduce medication risks. The system of this invention also permits modeling for hypothetical medication modifications based on the same intrinsic and extrinsic data sources.

Abstract: A method of detecting a cough in an audio stream includes a step of performing one or more pre-processing steps on the audio stream to generate an input audio sequence comprising a plurality of time-separated audio segments. An embedding is generated by a self-supervised triplet loss embedding model for each of the segments of the input audio sequence using an audio feature set, the embedding model having been trained to learn the audio feature set in a self-supervised triplet loss manner from a plurality of speech audio clips from a speech dataset. The embedding for each of the segments is provided to a model performing cough detection inference. This model generates a probability that each of the segments of the input audio sequence includes a cough episode. The method includes generating cough metrics for each of the cough episodes detected in the input audio sequence.

Abstract: Disclosed is an electronically adjustable joint, and associated systems and methods. A joint position of a multiple-axis joint, e.g., a 3-axis joint, can be tracked, as the joint moves through two or more dimensions. In an illustrative embodiment, the joint can provide a mechanical equivalent of a physical joint, e.g., a shoulder, elbow, hip, or knee, which can accommodate motion in rotational angle and/or tilt angle. In some embodiments, the joint includes electronically adjustable friction. An illustrative application provides electronically adjustable joints for an aging simulation suit, wherein one or more joints can be controllably stiffened in selective ranges, such that a wearer of the suit can experience the effects of aging, arthritis and/or other ailments. In an illustrative embodiment, a sensor can use four discrete 2-axis magnetometers to calculate the position of the magnet on the arm of the joint, to continuously sense and track the angle of the joint.

Abstract: Systems and methods are disclosed for determining anatomy directly from raw medical acquisitions using a machine learning system. One method includes obtaining raw medical acquisition data from transmission and collection of energy and particles traveling through and originating from bodies of one or more individuals; obtaining a parameterized model associated with anatomy of each of the one or more individuals; determining one or more parameters for the parameterized model, wherein the parameters are associated with the raw medical acquisition data; training a machine learning system to predict one or more values for each of the determined parameters of the parametrized model, based on the raw medical acquisition data; acquiring a medical acquisition for a selected patient; and using the trained machine learning system to determine a parameter value for a patient-specific parameterized model of the patient.

Abstract: A subcutaneously implantable device includes a housing, a first prong, and a second prong. A first electrode on the first prong is configured to contact the first lung. A second electrode on the device is configured to contact the first lung or a second lung. A third electrode on the second prong is configured to contact the heart or the tissue surrounding the heart. Sensing circuitry in the housing in electrical communication with the first electrode, the second electrode, and the third electrode is configured to measure an impedance in the first lung and/or the second lung, and/or a transthoracic impedance across the first lung and the second lung through the first electrode and the second electrode, and to measure an electrical signal from the heart through the third electrode.

Abstract: The kit evaluates the patient's skin for penicillin sensitivity. The kit comprises a container, a multi-site skin test system, five preloaded syringes, and a tattoo-type label that is transferable onto the patient's skin. A multi-site skin test applicator is cooperatively engageable with four reservoirs in a fluid tray. The applicator pierces the patient's skin as trace amounts of the allergy test fluids are simultaneously administered. The tattoo-type label is transferable onto the skin of the patient and includes a QR Code. The QR Code includes machine-readable linkage to artificial intelligence for assisting a doctor in interpreting patient test results. The doctor reviews the artificial intelligence analysis and decides either to accept the analysis or modify it. The doctor may also decide to verify negative results with a subcutaneous skin test. The five syringes are preloaded with saline, two syringes are preloaded with Pre-Pen, and two syringes are preloaded with Pen-G.

Abstract: A display device configured to receive raw values, calculate smoothed values, and display the smoothed values only if the smoothed values satisfy a consistency check. In some embodiments, the consistency check may be satisfied if none of the smoothed values (i) corresponds to a raw value that triggered a first or second alarm and (ii) would not also trigger the first or second alarm. In some embodiments, if the smoothed values do not satisfy the consistency check, the display device may re-calculate the smoothed values such that the consistency check is satisfied. The display device may display the smoothed values in place of corresponding raw values in a historical trend graph.

Abstract: A wearable device utilizing flexible electronics is disclosed. The wearable device may comprise a flexible matrix material and may include sensors for measuring biometric measurements of an individual, an accelerometer for measuring an acceleration of a body part to which the wearable device is attached, a wireless transmitter, a flexible power source, and a microcontroller. During an activity, the microcontroller may receive signals from the sensors including the biometric measurements, and signals from the accelerometer including acceleration and force measurements associated with the individual. The microcontroller may convert the signals into digital signals and transmit the signals to a computing device for analysis. The computing device may analyze the digital signals to determine a performance metric for the individual. The performance metric may be compared to baseline data for the individual to determine a fatigue level, injury risk, or an adjustment to be made by the individual during the activity.

Abstract: A method for preferential system identification (PSID) for modeling neural dynamics of a brain includes extracting behaviorally relevant latent brain states via a projection of future behavior onto past neural activity. The method further includes identifying, based on the extracted latent brain states, model parameters for a linear state space dynamic model of neural activity. An extension of PSID includes accounting for an effect of external inputs to the brain by using oblique projections along the external inputs instead of orthogonal projections. PSID may be extended to apply to any primary signals and secondary signals in place of the neural activity and the behavior. In some embodiments, the extracting and the identifying may be performed using a numerical optimization of recurrent neural networks (RNN) instead of the projection.

Abstract: A sensor (e.g., an optical sensor) that may be implanted within a living animal (e.g., a human) and may be used to measure an analyte (e.g., glucose or oxygen) in a medium (e.g., interstitial fluid, blood, or intraperitoneal fluid) within the animal. The sensor may include a sensor housing, an analyte indicator covering at least a portion of the sensor housing, and a multiple metal protective system including multiple metals incorporated in and/or in close proximity to a surface of the analyte indicator that reduce deterioration of the analyte indicator.

Abstract: Provided is a system for predicting disease based on biosignal data and medical knowledge base convergence. The system includes a first system unit configured to receive, from a user terminal, biosignal data collected from at least one sensor for sensing a biosignal, and calculate a disease score from the biosignal data based on a pre-trained prediction model, a second system unit configured to provide medical knowledge data for the first system unit, analyze a query input from the user terminal to provide a corresponding response, and augment the medical knowledge data based on the query and response; and a unified distributed repository that includes a database for enqueuing the biosignal data, a manager database for storing additional information of a user, and a medical knowledge base for storing predetermined medical knowledge data.

Abstract: The present disclosure relates to software used in planning the correction of bone deformities preoperatively or postoperatively, and in particular relates to virtually manipulating rings and struts of an external fixation frame in order to plan the steps for making a desired correction to two or more bone portions of a patient. The software can be used prior to surgery, allowing a user to virtually define a bone deformity, and virtually add and manipulate fixation rings and struts to the bone deformity. Based on the virtual manipulations, a correction plan can be generated that describes length adjustments that should be made to the plurality of model struts over a period of time to correct the bone deformity. The software can also be used after surgical fixation of the fixation frame and struts to the deformed bone.

Abstract: A computing platform configured to receive and process an on-demand real-time patient-specific data analysis order is provided. The computing platform can receive an order, determine the viability of the order, and then perform the desired analysis based on parameters provided within the order. As part of the analysis, the computing platform can mine one or more data sources to collect data relevant to the ordered diagnostic. Once the data is collected, the computing platform can analyze the data according to one or more pre-programmed algorithms. The selection of which algorithms to apply to the data set can be determined by the type of on-demand real-time patient-specific data analysis ordered. The on-demand real-time patient-specific data analysis in some examples can be ordered using an external ordering user interface.

Abstract: The breastfeeding device to prevent baby suffocation includes a main unit and a remote unit. The main unit is mounted on a silicon pad or patch having an adhesive layer for attaching the main unit to one of the mother's breasts. The main unit includes a microcontroller having a sensor, such as a pressure sensor, connected thereto, either directly on the same printed circuit board or mounted external to the main unit and connected to the microcontroller by a wire or cable. The main unit has a transmitter mounted thereon for sending a signal to the remote unit when the sensor detects too much pressure being applied to the baby's mouth and nose. The remote unit has a receiver for receiving the signal, and a microcontroller for switching on an audible alarm when such a signal is received.

Abstract: A method (100) and system (1) for diagnosing reflux disease in an individual (3). The method (100) comprises: administering (110) an oral dose (17) of tracer in to the individual; capturing (120), with a single photon emission computed tomography (SPECT) scanner (5), data representative of multiple image frames (21) of the individual in areas of interest (23) that include the pharynx (25) and oesophagus (27), wherein the data representative of multiple image frames (21) are captured over time after administration of the oral dose; and determining (130) one or more trend(s) in tracer activity over time in the areas of interest (23) based on the data representative of multiple image frames (21), wherein the trend(s) in tracer activity over time is indicative of a reflux disease.

Abstract: An Internet of Thing (IoT) device includes a body with a processor, a camera and a wireless transceiver coupled to the processor.

Abstract: Various embodiments of the present disclosure are directed to model feature classification, analysis, and updating for analyzing one or more risk determination model(s). Embodiments include an improved apparatus configured to generate an actionable feature data object subset of a risk model feature set for a risk determination model, for example using an actionable determination model. The apparatus may provide the actionable feature data object subset for rendering to an interface of a client device. The apparatus may additionally or alternatively be configured to utilize user feedback, provided either directly or identified by the apparatus based on user interactions, to update the actionable determination model. The apparatus may additionally or alternatively be configured to maintain and utilize linked claim data object(s) for use in rendering a linked claim scores analysis interface that provides additional insight regarding the risk level of a particular entity.

Abstract: Systems and methods for reducing acute incident risks for dementia patients are provided. Benefits of the systems and methods include reducing healthcare costs, improving patient and caregiver outcomes and reducing caregiver burden. A server system analyzes data related to a dementia patient and the corresponding caregivers (e.g., family member, paid caregiver, physician) and calculates an acute incident risk. Based on the acute incident risk, the server system determines patient therapies to reduce the acute incident risk and also identifies caregiver education to improve the caregiver belief state, which reduces the acute incident risk. The system periodically re-calculates the acute incident risk and identifies patient therapies and caregiver education and motivation to further reduce or maintain the acute incident risk.

Abstract: A method includes receiving location data of a monitoring device when carried by a user and receiving motion data of the monitoring device. The motion data is associated with a time of occurrence and the location data. The method includes processing the received motion data to identify a group of the motion data having a substantially common characteristic and processing the location data for the group of the motion data. The group of motion data by way of processing the location data provides an activity identifier. The motion data includes metric data that identifies characteristics of the motion data. The method includes transferring the activity identifier and the characteristics of the motion data to a screen of a device for display. The activity identifier being a graphical user interface that receives an input for rendering more or less of the characteristics of the motion data.

Abstract: One embodiment provides a method, including: receiving a selection to access interaction data associated with a target; receiving a designation of an interaction parameter, wherein the designation of the interaction parameter adjusts a defining standard for a direct interaction and an indirect interaction for the interaction data; determining, using a processor and based on the interaction parameter, whether each of the interactions from the interaction data is associated with a direct interaction or an indirect interaction; and generating an interaction visualization from the interactions, wherein the interaction visualization indicates interactions of the target with the at least one entity and wherein the interaction visualization visually distinguishes direct interactions from indirect interactions. Other aspects are described and claimed.

Abstract: A breath analysis device into which a user exhales a breath sample is capable of venting an initial portion of the breath sample from the device, and routing a second portion of the breath sample into a disposable cartridge containing an interactant. The device may include a sensor, such as a pressure sensor, for detecting the initiation of exhalation, and may include a controller that switches a valve during the exhalation process to route a desired portion of the breath sample into the cartridge. After the exhalation process, an LED/photodiode arrangement, or another type of optical sensor, may be used to measure a color change produced by a chemical reaction in the cartridge, to thereby measure a concentration of a ketone or other analyte in the breath sample.

Abstract: An adaptive method of cleaning structural health monitoring (SHM) data based on local outlier factor is provided, including following steps: step 1: dividing SHM data to be analyzed into a series of data segments by using adaptive sliding window (ASW) technology; step 2: extracting time-domain statistical factors and frequency-domain statistical factors of each of the data segments to refine data information, thereby forming objects for study; step 3: calculating an outlier degree of each of the objects by using a weighted multiscale local outlier factor (WMLOF) based on feature factors; and step 4: detecting anomalies in SHM data by comparing a WMLOF value with a threshold value. The adaptive method can improve data quality effectively.

Abstract: Data characterizing an individual is received. Thereafter, one or more variables are extracted from the data so that, using a predictive model populated with the extracted variables, a likelihood of the individual adhering to a treatment regimen can be determined. The predictive model is trained on historical treatment regimen adherence data empirically derived from a plurality of subjects. Subsequently, data characterizing the determined likelihood of adherence can be promoted.

Abstract: Embodiments provide systems, methods, and apparatus for reducing the impact of user-entered data errors in a data management system (DMS) such as for diabetes. Embodiments include storing user-entered data received from a user into a primary DMS database; storing secondary data received from a source other than the user into a secondary tracking database; associating the secondary data with one or more events described by the user-entered data; cross-checking the user-entered data against the associated secondary data; evaluating user-entered data based on the cross-checking results; presenting for review evaluated user-entered data; treating user-entered data in the primary DMS database based on review results; and determining a diabetes management plan based on the treated user-entered data. Numerous other aspects are provided.

Abstract: A method includes collecting a set of user information, determining a user current performance by: determining a sleep score or debt, measuring the user's previous physical activity, heart rate, or body temperature, calculating weights for the sleep score and the sleep debt, the measured previous physical activity, heart rate, or body temperature, calculating a weighted sum of the weighted sleep score, the weighted sleep debt, the weighted user's previous physical activity, weighted heart rate, or weighted body temperature, setting a user target level of performance, measuring a circadian rhythm and a user's duration of sleep or sleep cycle, comparing the circadian rhythm, the duration of sleep or sleep cycle, the current performance level, and current time zone information over days to determine a separate user performance level, comparing the target level of performance to the separate user performance level, and providing an alert and feedback user related to the comparison.

Abstract: A method for calibrating measurements of human physiological state applied on an electronic device couples the device to at least one uncalibrated measurement device, worn or placed. Readings of a physiological state are collected by the uncalibrated measurement device and the readings are input into a model for calibration. A sub-module corresponding to the type of reading, for blood pressure or heart rate for example, is called up from the calibration model and a regression algorithm is applied to the calibration model to generate a calibrated reading, each sub-module in the model corresponding to one type of reading. The method also outputs calibrated physiological measurements by the called-up sub-module. A related electronic device and a non-transitory storage medium are also disclosed.

Abstract: The present disclosure relates to methods, systems, and non-transitory computer-readable media for determining causal contributions of dimension values to anomalous data based on causal effects of such dimension values on the occurrence of other dimension values from interventions performed in a causal graph. For example, the disclosed systems can identify an anomalous dimension value that reflects a threshold change in value between an anomalous time period and a reference time period. The disclosed systems can determine causal effects by traversing a causal network representing dependencies between different dimensions associated with the dimension values. Based on the causal effects, the disclosed systems can determine causal contributions of particular dimension values on the anomalous dimension value. Further, the disclosed systems can generate a causal-contribution ranking of the particular dimension values based on the determined causal contributions.

Abstract: The present invention relates to a sensor device (100, 101, 102, 103) for sensing physiological information of a subject. To efficiently avoid or reduce ambient interference, the sensor device comprises a communication unit (7) for receiving, from an external source, context information indicating one or more of a modulation mode, settings of an interference reduction algorithm, and spectral information indicating an ambient light spectrum, said spectral information allowing the sensor device to determine the modulation mode and/or settings of an interference reduction algorithm, one or more light emitters (1, 2) for emitting modulated light onto the tissue of the subject, and a light detector (4) for detecting light which is transmitted through the tissue or/and which is reflected from the tissue.

Abstract: The present embodiments provide systems and methods for, among others, tracking sensor insertion locations in a continuous analyte monitoring system. Data gathered from sensor sessions can be used in different ways, such as providing a user with a suggested rotation of insertion locations, correlating data from a given sensor session with sensor accuracy and/or sensor session length, and providing a user with a suggested next insertion location based upon past sensor accuracy and/or sensor session length at that location.

Abstract: An aspect provides a method, including receiving an indication that a tag associated with a real time location system has been detected at a pre-determined location, the detected tag being associated with a patient in a hospital; and assigning a status of the patient based on detection of the tag; and updating a bed availability indication based on detection of the tag. Other aspects are described and claimed.

Abstract: Method and System for providing a medical drug recommendation. Time and location data is read from received client data. Weather data is retrieved based on the time and location data and the weather data is stored in a user data set. A medical drug recommendation is computed from a user data set that comprises migraine event data by using a statistical model. Furthermore, a server is prepared to provide medical drug recommendations, wherein a statistical model for delivering a medical drug recommendation is adjusted by providing user data as input data to a statistical model, the user data sets comprising migraine events.

Abstract: A glove comprising a set of electrocardiogram leads, the set of electrocardiogram leads including: (a) a plurality of precordial electrocardiogram leads; (b) a pair of aVL and aVR electrocardiogram leads; and (c) an aVF electrocardiogram lead; wherein the glove records a 12-lead electrocardiogram by pressing the glove against skin of a user.

Abstract: A severity calculator analyzes patient information including a patient avatar and a patient state and along with a patient trajectory calculator, computes a predicted outcome which is used to administer treatment. The severity calculator systems and computer program products are also disclosed.

Abstract: A robotically-assisted surgical device assists robotic surgery with a surgical robot including a robot arm, and includes a processing unit and a display unit. The processing unit acquires 3D data of a subject; acquires kinematic information of the robot arm; acquires information of a surgical procedure for operating; acquires position planning information for a plurality of ports to be pierced on a body surface of the subject; acquires measurement information obtained by measuring a position of a first port pierced on the body surface among the plurality of ports; determines a position of at least one of remaining ports other than the first port, based on the measurement information of the position of the first port, the information of the surgical procedure, the kinematic information, and the 3D data; and causes the display unit to display information indicating the determined position of the remaining port.

Abstract: Aspects of the present disclosure are directed to devices, systems, and methods for optimized integration of a human operator with a machine for safe and efficient operation. Accordingly, aspects of the present disclosure are directed to systems, methods, and devices which evaluate and determine a cognitive state of an operator, and allocate tasks to either the machine and/or operator based on the cognitive state of the operator, among other factors.

Abstract: A system, method, and computer-readable medium are disclosed for performing an entity behavior cataloging operation. The entity behavior cataloging operation includes: identifying a security related activity, the security related activity being based upon an observable from an electronic data source; analyzing the security related activity, the analyzing identifying an event of analytic utility associated with the security related activity; generating entity behavior catalog data based upon the event of analytic utility associated with the security related activity; and, storing the entity behavior catalog data within an entity behavior catalog, the entity behavior catalog providing an inventory of entity behaviors for use when performing a security operation.

Abstract: A method and a system for determining the maximum heart rate, called HRmax of a user of in a freely performed physical exercise and using an apparatus with software and memory. An intensity model takes account of, in addition to heart rate, respiration rate and/or kinetics information.

Abstract: Described are systems and methods for generating sleep scores based at least in part on the visual appearance of hypnograms. The disclosed implementations generate an embedding vector representative of the visual appearance of a hypnogram and utilize that embedding to determine a sleep score of the sleep session represented by the hypnogram. For example, a deep neural network, such as a convolutional neural network (“CNN”), may be trained with input data that includes hypnograms that have been labeled according to their sleep quality, or sleep score. The trained network may then be provided with an unlabeled hypnogram, generate an embedding representative of that hypnogram, and determine a sleep score corresponding to that hypnogram.

Abstract: A system has a body with a base having a top surface with a receiving region to receive the bottom of a single foot. Among other things, the base may be in the form of an open or closed platform with a plurality of temperature sensors in communication with the top surface of the receiving region. The plurality of temperature sensors are within the receiving region and configured to activate after receipt of a stimulus applied to one or both the platform and the plurality of temperature sensors. A comparator is configured to form a temperature range as a function of the temperature value distribution and compare a percentage of the range size of the temperature distribution to a threshold value. An output produces ulcer information indicating the emergence of an ulcer or pre-ulcer when the percentage of the range size equals or exceeds the threshold value.

Abstract: A system for using artificial intelligence to analyze user activity data, the system comprising a computing device configured to receive from a user, at least a biological extraction and at least a user activity datum, determine a current user location, generate a diagnostic output as a function of the biological extraction, wherein the diagnostic output comprises a condition of the user, retrieve, from a fingerprint database, at least a datum of user fingerprint data, identify a plurality of compatible elements at the current user location as a function of the condition of the user, select at least a compatible element as a function of the fingerprint data, and present, via a graphical user interface, the at least a compatible element to a user device.

Abstract: Systems, methods and computer-readable media are provided for identification of patients or family member having genetic disease or probable genetic disease. During or after registration of a patient, parents, grandparents, or siblings of the patient are identified. If it is determined that one of the patient or the parents, grandparents, or siblings of the patient has been assigned with a diagnosis indicating a genetic disease, an alert for genetic disease or probable genetic disease for the patient or family member of the patient is provided. A clinician is then prompted to confirm or rule out the patient or family member inheriting the disease.

Abstract: Analytics dashboards for critical event management systems that include artificial-intelligence (AI) functionalities, and related software. AI functionalities disclosed include pattern recognition and predictive modelling. One or more pattern-recognition algorithms can be used, for example, to identified patterns or other groupings within stored critical events, which can then be used to improve response performance and/or to inform the generation of predictive models. One or more predictive-modeling algorithms can be used to generate one or more predictive models that can then be used, for example, to make predictions about newly arriving critical events that can then be used, among other things, to provide optimal response performance and allow users to efficiently and effectively manage responses critical events. These and other features are described in detail.

Abstract: The present invention relates to a visualized virtual agent configured to provide a visual response to a user, wherein the visualized virtual agent is further configured to provide an artificial physiological color change response to a user on the basis of one or more user-specific parameter, wherein the visualized virtual agent is configured to acquire user-specific data for at least one user-specific parameter using at least one sensor, the one or more user-specific parameter comprising activity data of the user and/or physio-psychological data of the user, and wherein the artificial physiological color change response is provided in response to monitored changes of the acquired user-specific data for the at least one user-specific parameter of the activity data of the user and/or the physio-psychological data of the user, the artificial physiological color change response comprising at least in part a color change of the visualized virtual agent.

Abstract: A DI recovery management system generates a plurality of ranked claimant records and recovery scores. A predictive machine learning model inputs disability income claim data and disability income claimant data into an event history model utilizing discrete-time survival analysis in conjunction with a gradient boosting machine learning model. The claim termination event is one of a plurality of preselected recovery events that indicate that a claimant has achieved return-to-work capacity. Claimant data used in modeling includes diagnosis data representative of workplace disability duration guidelines. The predictive machine learning model is continually trained using updated disability income claims data. The training procedure transforms claimant records extracted from a DI claims database into a longitudinal format that includes multiple person-year records corresponding to each claimant record.