Abstract: Methods for screening, diagnosing, or predicting presence, progression, or treatment effects of a cognitive dysfunction such as dementia based on an analysis of drawing behavior changes by a pre-trained Naïve Bayes method are provided. The methods include steps of obtaining drawing data of at least one image created by a test subject on a digital device and obtaining personal data of the test subject; reconstructing the at least one image based on the drawing data obtained; converting the drawing data to drawing features comprising a plurality of motion features and a plurality of geometric features; and determining probability that the test subject has a cognitive dysfunction based on the drawing features and the personal data by a pre-trained Naïve Bayes method with a greedy variable selection.

Abstract: An implantable medical device (IMD) may include a plurality of coils that may be used to recharge a power supply of the IMD and/or provide telemetry for the IMD. The IMD may be configured to couple all of the coils in series, such that currents that are induced by each of the coils are added together when the IMD is exposed to an electromagnetic field. The IMD may be configured to alter the coupling of the coils such that the coils are coupled in series opposition, such that currents that are induced by some coils of the IMD are opposed by currents that are induced by other coils of the IMD.

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: A system and associated methods use an animal harness attached to an animal to improve security at a location (e.g., a home, office, warehouse, etc.). The animal harness collects health status data of the animal, and the health status data is processed using one or more algorithms that detect changes in one or more of excitement, agitation, stress, and/or anxiety in the animal. These changes are interpreted, using a behavioral model of the animal, to determine whether the animal is witnessing a security event at the location, and when the health status data indicates the security event, the system may generate an alert. The behavioral model may be updated over time to improve performance of the algorithms to detect security events.

Abstract: A smart mask includes a first material layer, at least one display, a first sensor, and a control module. The first material layer is configured to cover a portion of a face of a person. The at least one display is connected to the first material layer and configured to display images over a mouth of the person. The first sensor is configured to detect movement of the mouth of the person and generate a signal indicative of the movement of the mouth. The control module is configured to receive the signal and display the images on the display based on the movement of the mouth.

Abstract: A telemedical apparatus, system, and method for providing medical services to a patient remotely using electronic communications.

Abstract: Systems and methods for processing user data are disclosed. A system may include a memory storing instructions and at least one processor configured to execute the instructions to perform operations. The operations may include receiving, from a sensor, first user data associated with a client device; receiving, from a filter model, feature data corresponding to the first user data, the feature data comprising at least one of workflow information, system messages, or email addresses; training a meta-model to predict the first user data based on the feature data; generating a meta-model output based on the filter model and the feature data; updating the filter model based on the meta-model output; and transmitting the updated filter model to the client device.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for monitoring technology usage and performance. In some implementations, use of a technology item by one or more individuals assigned to use the technology item is monitored. Based on the monitoring, usage data that indicates usage of the technology item is generated. One or more criteria for evaluating the usage of the technology item by the one or more individuals is identified. It is determined whether usage data satisfies the one or more criteria. A system performs at least one of (i) evaluating an alternative technology item for the one or more individuals, or (ii) providing, for display on a user interface, output data indicating whether the usage data satisfies the one or more criteria.

Abstract: This disclosure discloses an information display method in a virtual environment. The method includes: obtaining first coordinate of a first virtual object in the virtual environment; obtaining, according to the first coordinate, a second coordinate of a second virtual object located in a first orientation of the first virtual object and in a predetermined behavior state; calculating a first distance between the first virtual object and the second virtual object according to the first coordinate and the second coordinate; obtaining a sound effect intensity of the second virtual object in the first orientation according to the first distance; and transmitting a sound effect display instruction to a first terminal corresponding to the first virtual object.

Abstract: A method of assisting a user wearing a head mountable display (HMD) when determining that the user may be in a pathological state includes: detecting, by one or more sensors, one or more parameters indicating one or more current properties of the user, generating information indicating the one or more current properties of the user based on the one or more parameters, determining whether the user may be in a pathological state or a non-pathological state based on the information indicating one or more of the current properties of the user, and performing a process under instruction of a processor in response to determining that the user may be in a pathological state, the process comprising one or more operations that the user can voluntarily instruct when the user is in a non-pathological state.

Abstract: A system for an artificial intelligence alimentary professional support network for vibrant constitutional guidance includes at least a server. The system includes a diagnostic engine designed and configured to receive a biological extraction from a user and generate a diagnostic output based on the biological extraction. The system includes an advisor module designed and configured to receive a request for an advisory input, generate an advisory output using the request for an advisory input and the diagnostic output, and transmit the advisory output. The system includes an alimentary input module designed and configured to receive the advisory output, select an informed advisor alimentary professional client device as a function of the request for an advisory input, and transmit the at least an advisory output to the informed advisor alimentary professional client device.

Abstract: A system and method are disclosed for computing a Health Score. Health data and extrinsic data are received that are parameters for computation of the Health Score. The received data can be combined using an algorithm being implemented as code executing in a processor so as to compute the Health Score of the individual wherein parameters comprising one portion of the data interacts with parameters comprising another portion of the data. Further, the computed Health Score is output to an interface of the user device. Information concerning the parameters' interaction are selectively output to the interface that explain which changes in the parameters are significant drivers of the change in the Health Score.

Abstract: Disclosed herein are an apparatus for automatic ultrasound diagnosis of liver steatosis using feature points in an ultrasound image, which can automatically determine a grade of liver steatosis, which is difficult to determine visually, through extraction from an image acquired by medical imaging, and a remote medical diagnosis method using the same.

Abstract: Systems, methods and computer program products to identify and close gaps in care are provided. Aspects of the present disclosure disclosed and described herein enable a payer may identify gaps in care based on information in the payer database. The payer can send this information to the provider prior to patient scheduling. The scheduling system at the provider can use this information to schedule patients and their medical needs (e.g., medical test, lab tests, imaging tests, etc.) before the next patient appointment. Primary care providers (PCPs) can then be made aware of the gaps in care information, as well as Hierarchical Condition Category (HCC) coding gap information, so they can perform a complete diagnosis using all available clinical data. PCP notes along with the treatment the patient receives can be combined with the RAF (Risk Adjustment Score) shared by the payers to ensure patient is assessed for all relevant conditions during the visit.

Abstract: A medical device with a capacitive sensing function includes a medical body having a syringe and a sensing circuit having an electrode, a protective film adhered to the medical body and including a plastic film, an electrode provided on the plastic film and opposite from the electrode of the medical body, and a capacitive sensor formed by the electrode of the medical body and the electrode of the protective film and being a part of the sensing circuit, wherein a capacitance value of the capacitive sensor changed under the condition of removing the protective film from the medical body, the sensing circuit being configured to detect the capacitance value and trigger corresponding function of the medical body.

Abstract: A system for adjusting blood glucose level including an insulin delivery device configured to release insulin into the body of a person, and an EEG monitor having an EEG sensing part including EEG electrodes. The EEG monitor can be arranged in the ear region of the person with the EEG sensing part arranged subcutaneously at the scalp or arranged in the ear canal. The EEG monitor includes an EEG signal processor arranged at the ear and adapted for identifying onset of hypoglycemia. The system further includes a wireless link between the EEG monitor and the insulin delivery device. The EEG monitor is configured to submit a warning signal to the insulin delivery device if an upcoming onset of hypoglycemia is identified. The warning message will cause the insulin delivery device to restrict insulin delivery for a predetermined time, and a warning is provided to the person or to a caregiver.

Abstract: Techniques for providing health monitoring with mobile devices are discussed herein. Some embodiments may include a method including: receiving symptom data via a user interface of a mobile device over time, the symptom data defining symptoms and severities associated with the symptoms for a user; determining, by processing circuitry of the mobile device, time data associated with the symptom data; generating, by the processing circuitry, graph data based on the symptom data and the time data; generating, by the processing circuitry, a graph data report based on the graph data; and providing, by the processing circuitry, the graph data report to one or more servers via a network.

Abstract: A method for generating an event, which is performed by a doorbell camera system disclosed in the present disclosure may include acquiring video of a visitor, outputting the acquired video of the visitor to a user, learning the user's feedback on the visitor, storing information of the visitor and a learning result of the user's feedback on the visitor, and generating an event based on the information of the visitor and the learning result of the user's feedback.

Abstract: A system includes a monitor mount and first and second monitors. The monitor mount includes a first coupling, a second coupling, and a first power bus. The first monitor includes a first electronic visual display and has a size and shape configured to be detachably secured to the monitor mount by the first coupling. The first monitor can optionally be powered by the first power bus when secured to the monitor mount. The second monitor includes a second electronic visual display and a third coupling. The second monitor has a size and shape configured to: (i) be detachably secured to the monitor mount by the second coupling, (ii) detachably secure the first monitor by the third coupling, and (iii) surround at least a portion of the first electronic visual display when the first monitor is secured to the second monitor.

Abstract: A systematic bilateral situational awareness tracking apparatus provides a wearable device with neurosynaptic, EEG, EKG, SpO2, body temperature, and blink sensors. A processor monitors the sensors and determines the wearer's state of situational awareness. When the wearer is fatigued or otherwise less alert, the device provides haptic feedback in conjunction with audio and visual alerts to the wearer, and text message alerts to others. The device integrates with dynamic assessment of situational awareness (DASA) software in order to allow further analysis of the wearer's situational awareness capability and longevity, and prediction of times of peak wakefulness and fatigue.

Abstract: A relative substance composition (RSC) of a portion of a body of a patient in a field of view for a medical image to be taken from the patient in a medical imaging scan is estimated. An input interface receives a piece of patient information data (PPID) and receives a piece of field-of-view information data (PFID). A computing device is configured to implement a trained machine learning algorithm (MLA). The trained MLA is configured and trained to receive the PPID and the PFID received by the input interface as an input and to generate as an output an output signal indicating an RSC of a portion of the body of the patient for the medical image based on the PPID and the PFID. An output interface outputs at least the output signal.

Abstract: Embodiments herein relate to systems and methods for combining data from different types of sensors. In an embodiment, a medical system is included. The medical system can include a first sensor configured to produce a first value for an analyte and a second sensor different than the first sensor, the second sensor configured to produce a second value for the analyte. The medical system can also include a controller configured to receive the first and second values. The controller can create a blended analyte value from the first value and second value. Other embodiments are included herein.

Abstract: A system and method for creating and presenting a rolling severity of illness acuity score are comprised of two phases. The first phase analyzes historical physiologic and clinical data from a hospital's EMR system and discovers data patterns that presage a deleterious outcome. These data patterns are stored in a first database. Once these patterns have been revealed, the second phase involves embedding these patterns into a hospital's EMR, collecting data on new patients in near-real time, matching up this data against the patterns uncovered in Phase One, and producing a score based on how many of these deleterious patterns a patient is exhibiting. This score is updated continuously, weighting the current value higher than previous scores. If this rolling score surpasses a specific value, an alert is generated. The alert, in one example a color-coded signal, is then sent to a mobile device or tablet of the clinicians caring for the patient.

Abstract: Methods and systems provide for receiving, at a remote server, first data and a first sharing key acquired from a first processor associated with a first medical practice, and receiving, at the remote server, second data and a second sharing key acquired from a second processor associated with a second medical practice. The methods and systems provide for comparing, by the remote server, the first sharing key to the second sharing key, and granting, to the first and second processors by the remote server, access to the first and second data stored in the remote server in response to a successful comparison of the first and second sharing keys. The methods and systems provide for sharing, by the remote server, the first and second data with the first and second processors in response to the grant of access.

Abstract: Techniques are provided that involve employing artificial intelligence (AI) to facilitate reducing adverse outcomes associated with healthcare delivery. In one embodiment, a computer implemented method comprises monitoring live feedback received over a course of care of a patient, wherein the live feedback comprises physiological information regarding a physiological state of the patient. The method further comprises employing AI to identify, based on the live feedback information, an event or condition associated with the course of care of the patient that warrants clinical attention or a clinical response. The method further comprises generating a response, based on the identification of the event or condition, that facilitates reducing an adverse outcome of the course of care, wherein the response varies based on a type of the event or condition, and providing the response to a device associated with an entity involved with treating the patient in association with the course of care.

Abstract: A mobile application is used for monitoring and management of users or patients with various health or disease conditions. Software system provides a platform with which the medical histories, the recent conditions and real-time measurement data for the patient can be organized and shared among various people who are involved in the caring of the patient. In addition to data sharing in a secured, private networking environment, the platform integrates the essential functions for people in the various caregivers' groups to communicate with each other in real-time so as to collaborate on the caring of the patient.

Abstract: A patient monitoring system includes: a display configured to display, only for a first period, information including changes over time in physiological information acquired from at least one patient; a first storage configured to store, only for a second period longer than the first period, data corresponding to the information displayed on the display; a second storage having a storage capacity different from a storage capacity of the first storage; a user interface configured to receive a data preservation instruction from a user; and one or more processors configured to store in the second storage at least a part of the data that has been in the first storage before the user interface receives the data preservation instruction.

Abstract: A medical monitoring and surveillance system uses a server communicating with a general-purpose personal device running an application. The application may be downloadable. The application is configured by the server. The application configures the device to perform medical tests using the sensors, preexisting capabilities, and functionality built into the device. The device may be a cellular telephone with data communication and other functionality, a personal digital organizer, a portable entertainment device, or another similar personal device. The application reports the results of the medical tests to the server or a third party device. Various trigger events and associated tasks may be incorporated in the server or in the application residing on the device. A trigger event may occur, for example, in response to the test results meeting one or more predetermined criteria. Once a trigger event occurs, a task associated with the trigger event is performed.

Abstract: An artificial faecal composition including: i) simulated digested-food matter, and ii) an n-acetylated polysaccharide.

Abstract: A processor(s) receives a profile of a user and ranks physical activities in a relational data structure based on the user profile to create a customized relational data structure of ranked physical activities for the user. The relational data structure maps physical activities to one or more associated attributes. An activity adviser model is produced specific to the user via machine learning by obtaining data related to physical activities performed by the user from one or more sensors, and receiving user wellness-related feedback related to the user-performed physical activities. The user wellness-related feedback includes a user ranking of one or more aspects of the user-performed physical activities. The activity adviser model specific to the user is built by using the customized relational data structure, the data and the user wellness-related feedback. The processor(s) uses the activity adviser model to provide an activity-related recommendation to the user.

Abstract: The present invention relates to a system and method for diagnosing potential diseases by making facial analysis via image processing techniques from photo and video data available in cloud storing unit and informing the user.

Abstract: Provided is a system (10) for determining a probability of an asthma exacerbation in a subject. The system comprises an inhaler (100) for delivering a rescue medicament to the subject. The inhaler has a use-detection system (12B) configured to determine a rescue inhalation performed by the subject using the first inhaler. A sensor system (12A) is configured to measure a parameter relating to airflow during the rescue inhalation. The system further comprises a processor (14) configured to determine a number of the rescue inhalations during a first time period, and receive the parameter measured for at least some of the rescue inhalations. The processor determines, using a weighted model, the probability of the asthma exacerbation based on the number of rescue inhalations and the parameters. The model is weighted such that the number of rescue inhalations is more significant in the probability determination than the parameters.

Abstract: An apparatus for estimating bio-information includes: a sensor configured to obtain a bio-signal from an object; and a processor configured to obtain a second-order differential signal of the bio-signal, to detect at least one of an inflection point in a predetermined period of the second-order differential signal, and a zero-crossing point in the predetermined period of the second-order differential signal, to extract a feature based on the detected at least one of the inflection point and the zero-crossing point, and to estimate bio-information based on the extracted feature.

Abstract: Example embodiments relate to systems, methods, apparatuses, and computer readable media relating to a user interface, that may for example, receive and/or process physical activity data and allow interaction with the received information in novel implementations.

Abstract: The present invention is both a device and a method for verifying a subject's identity while using a medical device or undergoing a medical diagnostic or therapeutic procedure, particularly at home or at a remote location. The method and device can be used for inpatient and remote sleep and signal analysis with biometric identification. The present invention is further related to the devices and sensors used in executing the method, and includes various embodiments of a method of inpatient and remote sleep analysis.

Abstract: A method for determining and responding in real-time to an increased risk of death relating to a patient with epilepsy is provided. The method includes receiving cardiac data and determining a cardiac index based upon the cardiac data. The method includes determining an increased risk of death associated with epilepsy if the indices are extreme, issuing a warning of the increased risk of death and logging information related to the increased risk of death. Also presented is a second method for determining and responding in real-time to an increased risk of death relating to a patient with epilepsy comprising receiving at least one of arousal data, responsiveness data or awareness data and determining an arousal index, a responsiveness index or an awareness index, where the indices are based on arousal data, responsiveness data or awareness data respectively.

Abstract: An electronic device includes a microphone, a processor, and a memory. The memory stores an application for monitoring user information, and the memory stores instructions that, when executed by the processor, cause the electronic device to record a plurality of parameters associated with the user information in the application when a predefined event occurs to record a first parameter and the first parameter is not recorded in the application, to output a message for obtaining the first parameter, to receive a user response associated with the first parameter, to transmit data associated with the user response to an external server, to receive a first response from the external server, and to record the first parameter in the application by allowing the electronic device to have information about sequences of states of the electronic device. The first response includes information about sequences of states of the electronic device for recording the first parameter in the application.

Abstract: A computing entity storing a user profile data store and an informational content data store receives new event information corresponding to a user. The new event information is associated with a user identifier and is provided via user interaction with an interactive user interface (IUI). Using the user identifier, the computing entity identifies and accesses a user profile from the user profile data store that comprises profile information corresponding to the user. Based on the new event information and/or the profile information stored in the user profile, the computing entity prioritizes a plurality of informational content items stored in the informational content data store. Based on the prioritization of the plurality of informational content items, the computing entity selects one or more informational content items that are of high priority for the user and provides a selected informational content item for presentation to the user via the IUI.

Abstract: A defibrillation device for administering an electrotherapy, such as a dual-sequential defibrillation (DSD) electrotherapy. The defibrillation device can include a defibrillation therapy module, a physiological parameter module and a control module. The defibrillation therapy module can output one or more energies and the physiological parameter module can receive one or more physiological parameters, including electrocardiogram (ECG) data. The control module can analyze the physiological parameters to determine an indication for the administration of an electrotherapy and can determine a DSD electrotherapy. The DSD electrotherapy can be based at least in part on the physiological parameters, the indication for the administration of an electrotherapy or a review of the ECG data.

Abstract: A terminal device includes: an information storage that stores registration information for establishing a wireless communication connection with an electrical treatment device; a detection unit that detects a beacon signal emitted from the electrical treatment device; a determination unit that determines, on the based on the registration information stored in the information storage unit and the beacon signal detect, whether the electrical treatment device includes an unregistered electrical treatment device. In a case where the unregistered electrical treatment device is included, the determination unit further determines, on the basis of the beacon signal detected, whether the unregistered electrical treatment device includes registration information of a device other than the terminal device.

Abstract: A computer system supplies a health service using body information measured by a measurement instrument. The computer system includes a computer that includes an analysis unit analyzing memory of a user. The analysis unit analyzes an error pattern based on a history of a matching-determination process for body information transmitted by the measurement instrument and body information input by the user, calculates a first evaluation value for evaluating a cognitive function based on an analysis result of the error pattern, analyzes an action pattern related to an input action of body information of the user, calculates a second evaluation value for evaluating the cognitive function based on an analysis result of the action pattern, and evaluates the cognitive function of the user based on the first evaluation value and the second evaluation value.

Abstract: Provided is a system including a vehicle loaded with equipment to be used in a health checkup, a server configured to decide a dispatch schedule of the vehicle, and a terminal apparatus used by the user. The server sets the equipment to be loaded onto the vehicle based on information about the user transmitted from the terminal apparatus or information about the user stored in a database, and additionally decides the dispatch schedule for the vehicle. The terminal apparatus and the vehicle receives the dispatch schedule from the server, and the vehicle is driven based on the dispatch schedule.

Abstract: The present technology relates to information processing apparatus and method, and a program that make a stress level controllable depending on circumstances. A stress level measuring unit measures a stress level of a user on the basis of a result of detection by various types of sensors included in an input unit. A stress factor specifying unit specifies a factor causing an increase or decrease in the stress level on the basis of an action of the user in a period in which the stress level is increased or decreased. The present technology is applicable to a stress control system, for example.

Abstract: Disclosed is a system for detecting an emotional state of a companion animal, including: a state information collecting device comprising a microphone and sound sensor which collects a sound of the companion animal, a temperature sensor which collects a temperature of the companion animal, and an acceleration sensor which collects an activity of the companion animal, the state information collecting device being worn on a body of the companion animal; and a companion-animal emotion analysis server configured to extract characteristic information of sound information of the companion animal transmitted from the state information collecting device, select emotional state information of the companion animal corresponding to the extracted characteristic information from a database, and transmit the selected emotional state information of the companion animal through a wireless communication network to a portable terminal of an animal guardian.

Abstract: A life support and monitoring apparatus with malfunction correction guidance is provided. The life support and monitoring apparatus of the present disclosure identifies the root cause or potential cause of a fault/failure and then prompts an operator to take appropriate steps to assure the continuance of life support and critical physiologic monitoring. When multiple faults/failures exist, the apparatus automatically prioritizes them based on risk to the patient and prompts the operator to do the most appropriate intervention to assure patient safety.

Abstract: Novel tools and techniques are provided for assessing, predicting and/or estimating a probability that a patient is bleeding, in some cases, noninvasively. In various embodiments, tools and techniques are provided for implementing rapid detection of bleeding of the patient or implementing assessment, prediction, or estimation of a probability of bleeding of the patient following injury, in some instances, in real-time before, during, and after fluid resuscitation. According to some embodiments, one or more sensors might monitor physiological data of the patient before, during, and after resuscitation following injury. A computer system might receive and analyze the physiological data, and might estimate a probability that the patient is bleeding, based at least in part on the analyzed physiological data. An indication of at least one of an assessment, prediction, or estimate of a probability that the patient is bleeding may then be displayed on a display device.

Abstract: An apparatus includes a wearable sensor structure that includes multiple individual sensor units placed in a row. Each individual sensor unit includes a first portion to contact a surface of skin under which arteries and/or veins are to be located, and a second portion that contacts the first portion and is configured to have a capacitance. The first and second portions are configured to create a capacitance change in response to a squeezing or bending between the first portion and a fixed part of the second portion caused by a pulse pressure and release of the pulse pressure. The apparatus includes circuitry configured to measure waveforms for the individual sensor units. Each waveform captures the capacitance change for its corresponding individual sensor unit. The apparatus includes a wireless interface configured to transmit the waveforms. A computing system is also disclosed that analyzes the waveforms and can provide alerts based thereon.

Abstract: An imaging system collects a plurality of images of an extremity of a subject, each collected at a unique spectral band. A physiologic arterial parameter of the extremity is determined from the plurality of images upon image registration. A record of the physiological arterial parameter is recorded in an electronic data store and an indication of the parameter is outputted. The method is performed by a medical professional associated with a temporal clinical expenditure cost in an epoch, for an entity. The product of the (i) epoch and the (ii) temporal clinical expenditure cost is less than a difference between (a) an average or absolute reimbursement associated with the current procedural terminology code by the entity and (b) incidental expenditures associated with the performance of the method.

Abstract: Systems, apparatus, instructions, and methods for medical machine time-series event data processing are disclosed. An example time series event data processing apparatus includes memory storing instructions and one-dimensional time series healthcare-related data; and at least one processor. The example at least one processor is to: execute artificial intelligence model(s) trained on aggregated time series data to at least one of a) predict a future medical machine event, b) detect a medical machine event, or c) classify the medical machine event using the one-dimensional time series healthcare-related data; when the artificial intelligence model(s) are executed to predict the future medical machine event, output an alert related to the predicted future medical machine event to trigger a next action; and when the artificial intelligence model(s) are executed to detect and/or classify the medical machine event, label the medical machine event and output the labeled event to trigger the next action.

Abstract: There is provided a method for creating a personalized reference interval (PRI), comprising: receiving a digital profile of a patient including demographic parameters and associated values, and medical history data parameters and associated values; receiving a clinical test result including a measured value of at least one analyte; accessing a dataset storing digital profiles of other patients; identifying a subset of the dataset based a correlation according to a similarity requirement between demographic parameter(s) of the patient and of other patients, and between the medical history of the patient and the other patients; calculating a PRI for each respective analyte of the clinical test result of the patient according to an analysis of corresponding values of the analyte of the subset, wherein the PRI is dynamically calculated using the most updated version of the dataset.