Abstract: A system and method for pre-operative or intra-operative surgical procedure feedback provide a recommendation to a surgeon. A system may include a robotic surgical device to perform a portion of a surgical procedure on a patient, and a processor to determine a recommendation, based on past surgical information, for the portion of the surgical procedure performed by the robotic surgical device or for a next action to be taken, but the robotic surgical device or a surgeon. The system may include outputting the recommendation by intra-operatively providing the recommendation to a surgeon operating the robotic surgical device.

Abstract: Systems and methods providing compatibility between legacy electronic record systems are disclosed. Appliances are in two-way electronic communication with legacy electronic records systems and a gateway server which is in electronic communication with one of the legacy electronic records systems. Electronic medical records data is converted between legacy formats for the legacy systems and a common format for transmission between the appliances and the gateway server.

Abstract: The present disclosure provides systems and methods for automatically generating telemedicine platforms for providers. A marketplace of healthcare services and associated pricing and other terms is made available to employers, individuals, and/or health insurance companies. Employers and/or health insurance companies can select a subset of options from the marketplace to create a customizable sub-marketplace of healthcare services to offer to their employees or insureds. Providers may modify their offerings in the marketplace to fit within guidelines established by the employers or health insurance companies to be automatically included in the sub-marketplace of healthcare services.

Abstract: An intelligent analysis system applied to ethology of various kinds of high-density minimal polypides is provided, including an operating platform subsystem and an analysis subsystem; the operating platform subsystem is used for providing an activity medium capable of obtaining behaviors of the minimal polypides and shooting the behaviors of the minimal polypides; the behavior collecting module in the analysis subsystem is used for obtaining an ethology video of the high-density minimal polypides through the operating platform subsystem; the analysis modeling module is used for obtaining ethology big data of various kinds of high-density minimal insects according to the ethology video, and establishing an ethology model; the simulation predicting module is used for dynamically predicting comprehensive control strategies and control effects of minimal pests in a field ecosystem according to the ethology model; the visual demonstrating module is used for displaying the above behavior data.

Abstract: A system, method, and computer-readable media for obtaining the informed consent of a patient for a medical procedure. Specifically, a video describing a medical procedure may be provided to the patient through a client device having two display portions. As the video is playing in a first portion, the client device may capture the patient watching the video and display the captured image on the second portion. The entire display of the client device may be recorded, providing a record that the patient has watched the video describing the medical procedure and consents to the medical procedure.

Abstract: The present invention discloses a medical clinical data quality analysis system based on big data, which relates to the field of medical big data technologies. The present invention is used to solve the technical problems that multi-link classified acquisition cannot be carried out on medical behaviors, and the quality of clinical data cannot be analyzed and reflected at the front end, middle link, and tail end of management. In the present invention, authenticity data, compliance data, process data and conclusive data are comprehensively acquired in admission, hospitalization, and discharge links of medical clinical data quality management, which is conducive to implementing multi-link classified acquisition of clinical medical behaviors, thereby facilitating subsequent dynamic and orderly quality analysis and control of clinical data.

Abstract: Method of analysis of a diagnostic dental representation showing a dental arch of a current patient in several dimensions. The method includes creation of a learning base including more than 1,000 historical dental structures. Each historical dental structure includes a historical dental representation showing an arch of a historical patient in several dimensions and a historical specification containing a value for at least a first attribute relating to a dental object associated with the historical dental representation. The method includes training of at least one deep learning device by use of the learning base. The method includes submission of the diagnostic dental representation to the deep learning device in such a manner that it determines, for the diagnostic dental representation, at least one value for the first attribute.

Abstract: Apparatus and associated methods relate to a health record management system having a processing engine configured to collect one or more health records associated with a patient from one or more healthcare providers and collect one or more personal observations identified by the patient, and integrate those collected information to form a comprehensively integrated health record associated with the patient. In an illustrative example, the patient may selectively share all or part of the comprehensively integrated health record with one or more persons or assigned healthcare providers.

Abstract: A system and method for detecting medical conditions in individuals in crowded settings is described, including methods and approaches for addressing confounding issues such as variation due to external factors.

Abstract: A scheduling system and methods for scheduling patient appointments disclosed here utilize any available input to identify a timestamp and a spatial location related to a patient and/or one or more providers in proximity of one or more appointment locations, to allocate a set of procedure resources to each patient appointment based on the timestamps and the spatial locations, and to communicate any revised timing to the patient, thereby minimizing a total waiting time. The scheduling system allows for scheduling of appointments divided into multiple appointment states, each having a predicted timing. After a completed appointment state, individual uncertainty of the predicted timing is replaced with an actual timing and the predicted timing of the remaining schedule is revised. This scheduling system enables adaptive reallocation of resources while avoiding compounding the waiting times that create a multi-state iterative and time-variant problem.

Abstract: A cleaning robot may determine a three-dimensional model of a physical environment based on data collected from one or more sensors. The cleaning robot may then identify a surface within the physical environment to clean. Having identified that surface, the robot may autonomously navigate to a location proximate to the surface, position an ultraviolet light source in proximity to the surface, and activate the ultraviolet light source for a period of time.

Abstract: One example method occurs at a switching fabric emulator providing an emulated switching fabric comprising emulated switching elements and associated packet queues, wherein the switching fabric emulator comprises at least one switching application-specific integrated circuit (ASIC) or programmable switching chip, the method comprising: during a test session: receiving, via at least a first physical port of the switching fabric emulator, packets from or to a system under test (SUT); detecting an occurrence of a dropped packet that happens while the packet is traversing the emulated switching fabric; encapsulating dropped packet data associated with the dropped packet, wherein the encapsulated dropped packet data indicates an emulated switching element or packet queue contributing to the occurrence of the dropped packet; and providing the encapsulated dropped packet data to an analyzer.

Abstract: A communication system according to an embodiment includes a server system and one or more communication apparatuses. The server system includes a first hardware processor. The first hardware processor determines frequency information indicating processing frequency of predetermined processing executed by the communication apparatuses. The frequency information is determined on the basis of determination information affecting the predetermined processing. The first hardware processor transmits processing frequency of the predetermined processing to the communication apparatuses. The processing frequency is determined on the basis of the frequency information. The communication apparatuses each include a second hardware processor. The second hardware processor receives the processing frequency of the processing from the server system. The second hardware processor executes the predetermined processing on the basis of the received processing frequency.

Abstract: A system and/or method may be provided to silently authenticate a user. An example method of silently authenticating a user includes receiving a request to complete a transaction associated with a merchant application. The request includes a data file including an identifier from the user device. The request is from a user device. The method also includes determining whether the data file includes a refresh token and determining whether the refresh token is valid if the data file includes the refresh token. The method further includes receiving an access token from the user device if the refresh token is valid. The access token includes an authorization scope. The method also includes determining whether the transaction is within the authorization scope. The method further includes authenticating a user if the transaction is within the authorization scope.

Abstract: Programs, systems, and methods for generating electronic reports by a single-action electronic reporting system are described herein. In some embodiments, electronic reporting documents may be generated based on a configuration file. The configuration file may be editable by the user such that the user may select report data types and cumulation data types to be applied to the configuration file for a particular sub-application format. All personnel data associated with employees of a company may be stored such that the personnel data may be accessed and obtained by the single-action electronic reporting system. The user may define the data types, the cumulation data types, and the sub-application for output and presentation of the data.

Abstract: Visually selecting application activities can include superimposing a visual selector overlay on a page displayed on a device, the page corresponding to a foreground activity. The superimposing can be responsive to receiving user input invoking the foreground activity. Contextual information corresponding to the foreground activity can be detected. The contextual information can be presented to the user visually within the visual selector overlay. The contextual information can be automatically added to a list and the list stored electronically on the device in response to received user input. The list can be configured to contain contextual information selected from page displays corresponding to a plurality of activities relating to one or more apps stored on the device.

Abstract: A computer-implemented system includes a processing device configured to receive a plurality of user and blood vessel characteristics associated with a user, generate a selected set of user and blood vessel characteristics, determine, based on the selected set of the user and blood vessel characteristics, a probability that angiogenesis will occur, and generate, based on the probability and the selected set of the user and blood vessel characteristics, a treatment plan that includes one or more exercises directed to modifying the probability that angiogenesis will occur, and a treatment apparatus configured to implement the treatment plan while the treatment apparatus is being manipulated by the user.

Abstract: A system for performing projective tests includes a web server, a database server, and an artificial intelligence (AI) server. The web server is coupled with an electronic data network and configured to provide a man-machine interface via the electronic data network to a remote client. The database server manages test and training data and is coupled with the web server. The AI server is coupled with the web server and the database server, and configured to execute one or more AI algorithms. The man-machine interface provides administrative tools to control a content of at least one projective test where the content may include at least one projective stimulus comprising at least one of an image, a video, an audio file, and a text file. The man-machine interface provides administrative tools that control a display associated with the projective test.

Abstract: In one embodiment, a computer-implemented system includes a treatment apparatus configured to be manipulated by a user while performing an exercise session, patient interfaces associated with users, and a server computing device configured to receive treatment data pertaining to the user, determine whether at least one characteristic of the user matches at least one second characteristic of a second user, where the second user belonging to a cohort. Responsive to determining the at least one characteristic of the user matches the at least one second characteristic of the second user, the server computing device is configured to assign the user to the cohort and select, via a trained machine learning model, a treatment plan for the user. Responsive to transmitting a signal to the patient interfaces of users in the cohort, the server computing device enables the patient interfaces to establish the virtual shared session between the patient interfaces.

Abstract: A computer system identifies supplemental materials most effective at increasing adherence for each of a plurality of different medications and provides the materials at an optimal point in time. An example method generates a first user interface for receiving an electronic prescription for a patient for a prescribed substance. Responsive to receiving the electronic prescription, the method includes obtaining adherence data for the patient, identifying supplemental programs associated with the prescribed substance from a database of supplemental programs, generating a second user interface that presents the supplemental programs for selection by the health care provider, and responsive to receiving selection of at least one of the supplemental programs in the second user interface, providing the supplemental programs to the patient. The supplemental programs identified from the database are associated with at least one rule relating to adherence data that is met by the adherence data for the patient.

Abstract: A system and method for determining handedness in a device. The system including a first electrode, a second electrode, a sensor, and a processing circuit coupled to each other. The first electrode is placed at a first location, and the second electrode is placed at a second location on the device—the first location is different from the second location. The electrodes are configured to sense a variation in an electrostatic field in response to a user interacting with the device. The sensor detects a differential potential between the first electrode and the second electrode, and the processing circuit determines whether the user is interacting with the device using a left hand or a right hand. The determining is based on data received from the sensor corresponding to the differential potential.

Abstract: Disclosed are a drug evaluation method and apparatus. The drug evaluation method includes acquiring cell images in response to a drug to be evaluated, loading an image processing-based learning model trained so as to predict molar concentrations, outputting molar concentrations of cells corresponding to the cell images by applying the learning model to the acquired cell images, and calculating a drug evaluation value used to evaluate effects of the drug on the cells based on the molar concentrations of the cells corresponding to the cell images output through the learning model.

Abstract: In some implementations, a method is performed by a device including a non-transitory memory and one or more processors coupled with the non-transitory memory. In some implementations, the method includes obtaining, by the device, engagement data that indicates engagement of a plurality of devices with one or more content items of a plurality of content items. In some implementations, the method includes detecting, by the device, a first event associated with a first time that occurs after a current time. In some implementations, the method includes identifying, by the device, a first content item from the plurality of content items based on the engagement data. In some implementations, the first content item satisfies an engagement criterion associated with the first event. In some implementations, the method includes rendering, by the device, the first content item at a second time that occurs prior to the first time.

Abstract: Systems, methods, and non-transitory computer-readable media are provided for data analysis. A user interface comprising boards corresponding to one or more objects and one or more operations on the input and/or output objects of the boards can be generated for high-scale top-down data analysis.

Abstract: A system for switching between communication platforms using a secure healthcare communication system the system comprising: a healthcare provider server device. Transmitting a communication switch request to a first communication platform and establish a first communication channel between the user device and the healthcare provider server device to communicate one or more messages to the first communication platform. Transmit an encoded message over the first communication channel to the first communication platform in response to receiving the communication switch initiation request, the encoded message including an identifier associated with a second communication platform. Switch to an encrypted second communication channel from the first communication channel in response to receiving an encrypted communication initiation request. Encrypted communication initiation request is generated based on the identifier.

Abstract: An automated system and method for assisting in decision making for the treatment of stroke patients is provided, and specifically for assisting a physician whether the patient should be administered a drug or transferred to another hospital to undergo an endovascular thrombectomy procedure. A variety of factors are input into the system with limited human intervention and a tool automatically determines the probability of whether the patient will have a better outcome if transferred or not. The factors include clinical factors, imaging factors and time to transfer factors. The tool includes processes for automatically determining several imaging factors, including the determination of clot length, collateral blood flow, the presence of forward blood flow within and around the clot, and the clot permeability. The tool has capability to continuously update the treatment protocol and other output results using current clinical, health system or other relevant information or feedback.

Abstract: The subject disclosure relates to systems, devices, and methods for executing operations related to procurement of individualized medicine therapies. Also disclosed are embodiments systems, methods, and devices for accessing a wide range of individualized medicine platform modules. Furthermore, disclosed herein are individualized medicine platform systems, methods and devices communicatively coupled to blockchain computing systems comprising several nodes. The disclosed systems, methods, and devices also generate chain of custody and chain of identity event data.

Abstract: Disclosed are a method and system for propagating data changes in a hierarchy of dataset models in which each dataset model comprises an analytic and one or more parent datasets, including a primordial dataset. The analytic is executed to instantiate a first instance of the data model. After a change in a primordial dataset, each instance of a dataset model that descends from the primordial dataset is invalidated, and the analytic is re-executed to create a second instance of the data model. Analytical results may be displayed. The first dataset model may include a metric in which the definition of the metric comprises metadata of the dataset model. Metric values may be stored in a first cache, re-computed on a new instance of the dataset model, and stored in a second cache.

Abstract: In non-limiting examples of the present disclosure, systems, methods and devices for determining a language of a text string are presented. A language detection model may be maintained. The language detection model may comprise identities and weights for initial and final consonants, identities and weights for prefixes and suffixes, and identities and weights for vowel sequences, where each identity is derived from a training corpus. The weights may correspond to a frequency of a text unit in the corpus. A text string may be received and a match score between the text string and the language of the language detection model may be determined. The match score may be based on initial and final consonant scores, prefix and suffix scores, and/or vowel sequence scores for each word in the text string. If the match score meets a threshold value a follow-up action associated with the language may be performed.

Abstract: A template builder for dynamically generated executables intakes objects from a metadata repository and template components from a template component library. An interface receives user selections of a test data object from among the objects in the metadata repository and template component from among the template components in the template component library. The template builder builds a candidate script template with the selected template component(s) and customizes the candidate script template, using the selected test data object into a generated script preview. The interface displays the generated script preview, and upon execution of the generated script preview, displays results of the execution. If the user is satisfied, the candidate script template may be persisted and used in templated data tests or other templated computational tasks.

Abstract: Generally described, one or more aspects of the present application relate to enabling determination of a predicted surgical efficacy of a proposed surgical intervention and a predicted pattern of post-operative recovery for the patient. More specifically, the present disclosure provides a system that can analyze the patient data of a plurality of patients data, generate analytics data indicating the post-operative recovery of the plurality of patients, and store the analytics data in association with the biological traits of the patients and the types of surgical interventions that the patients had. Subsequently, the system can analyze the patient traits and activity data of a patient, and output, based on the previously generated analytics data, a prediction of how efficacious a given surgical intervention might be for that patient and/or how the patient might recover from the given surgical intervention.

Abstract: Provided are a method for service status analysis, a server, and a storage medium. The method includes: for each vertex of multiple vertices in a graph database: reading out attribute data of the vertex, where the graph database is generated in advance according to a service description table, the vertex represents a service, and the attribute data of the vertex includes at least one service attribute of the service represented by the vertex; and according to the attribute data of the vertex and attribute data of each of multiple related vertices, determining a service status level of the service represented by the vertex, where each of the multiple related vertices has a propagation relationship with the vertex; and according to the service status level of each of the services represented by the vertices, analyzing a service propagation network.

Abstract: Systems and methods related to medical cabinets and medical cabinet systems are provided. In particular, they include structure and systems that incorporate or expand medical cabinet systems with platform-based (open access) devices that can assist with managing and stocking of medical products in controlled environments (e.g., rooms having restricted access such locks or key codes to allow authorized personnel). They also include providing convenient expansion to temperature regulated products by adapting refrigerators or freezers using specialized shelf top platform devices that operate inside the refrigerator or freezer by way of the integration of algorithms and/or hardware.

Abstract: According to an embodiment of the present application, as a method of determining whether to output an alert of a user's thyroid dysfunction, there may be provided a thyroid dysfunction monitoring method including receiving a user's medication information from an external device; selecting a monitoring algorithm to be used to determine whether to output the alert on the basis of the medication information; and determining whether to output the alert on the basis of the selected monitoring algorithm.

Abstract: An ambulatory medical device can detect a device condition and determine if the device condition satisfies a set of normal operating parameters. If the normal operating parameters are not satisfied, the ambulatory medical device can determine if the device condition stratifies a set of minimum operating parameters. If the minimum operating parameters are satisfied, the ambulatory medical device can maintain a delivery of therapy to a subject and generate an alert based on the device condition.

Abstract: The disclosure pertains to a secure intelligent networked system for identifying and correcting a defect in a health care service and method for using the same. The system receives data regarding patient care, generally obtained from commercial insurance claims, customer claims or Medicare claims. The system operates on a plurality of nodes configured based on a set of metrics associated with the appropriateness of health care measures. The system may generate a determination regarding the appropriateness of the measure. The system may further produce a second determination denoting a physician's overall conformity with appropriate standards of practice. Finally, the system may generate a knowledge narrative indicating an appropriate action.

Abstract: A system for evaluating mental health of patients includes a memory and a control system. The memory contains executable code storing instructions for performing a method. The control system is coupled to the memory and includes one or more processors. The control system is configured to execute the machine executable code to cause the control system to perform the method: A selection of answers associated with a patient is received. The selection of answers corresponds to each question in a series of questions from mental health questionnaires. Unprocessed MRI data are received. The unprocessed MRI data correspond to a set of MRI images of a biological structure associated with the patient. The unprocessed MRI data is processed to output a set of MRI features. Using a machine learning model, the selection of answers and the set of MRI features are processed to output a mental health indication of the patient.

Abstract: The disclosure is directed at a method and system for improved search functionality. By using natural language processing (NLP), individual words in a search term may be parsed and then individually stored. The relationships between the individual words of the search term may also be stored such that when the search is repeated, the previous results may be retrieved and, if not, a more accurate search may be performed.

Abstract: Systems and methods for evaluating the efficacy of entertaining elements during physical and cognitive therapeutic sessions are disclosed. The system is comprised of a means for providing visual and auditory information, and prompting a patient to perform physical and cognitive tasks of varying difficulty. The system is further comprised of a means of tracking the patient's movements to provide feedback to the patient and assess the performance of the patient's movements. Prompted movements are designed to provide therapeutic mental, behavioral, and physical health benefits to the patient, and may increase or decrease in difficulty based on prior assessments of a patient's movements. Entertaining elements are introduced in the visual and auditory information and assessed for their impact on the patient's performance of the movements.

Abstract: Methods, systems, and apparatus are disclosed to initialize a pharmacy application in a mobile computing device, the pharmacy application configured to prompt a user for a location acceptance via a question prompt notification. The pharmacy application may be launched in a background process of the mobile computing device, without user intervention, wherein the pharmacy application is configured to transmit a location of the mobile computing device and customer identification information to a remote pharmacy computing system, and receive a ready prescription including a pickup location at a predetermined pharmacy location from the remote pharmacy computing system. When the mobile computing device is within a proximity of the predetermined pharmacy location, the pharmacy application may display, on the mobile communication device, an indication that the ready prescription is available at the pickup location.

Abstract: Mechanisms are provided for implementing a disambiguation engine for disambiguating content. Electronic content is received from a corpus of electronic content, and analyzed to identify an ambiguous portion of content. The ambiguous portion of content is a portion of the electronic content whose meaning is not made explicit in the ambiguous portion of content. A context associated with the ambiguous portion of content is determined and a set of one or more context based ambiguous content interpretation rules associated with the determined context is applied to the ambiguous portion of content to generate an interpretation of the ambiguous portion of content. The ambiguous portion of content is annotated based on the interpretation to generate disambiguated electronic content which is stored for processing as part of a subsequent operation.

Abstract: Example embodiments of systems and methods for data transmission system between transmitting and receiving devices are provided. In an embodiment, each of the transmitting and receiving devices can contain a master key. The transmitting device can generate a diversified key using the master key, protect a counter value and encrypt data prior to transmitting to the receiving device, which can generate the diversified key based on the master key and can decrypt the data and validate the protected counter value using the diversified key.

Abstract: Method and apparatus are described for a system that employs a change management algorithm to drive transfusion “appropriateness” by factoring evidenced-based knowledge and input from practitioners, where said algorithm may also ensure that a blood or blood product transfusion is provided to the right patient, that the blood/blood product is transfused at the right time, and that the procedure is completed for the right reason.

Abstract: A system for predicting and summarizing medical events from electronic health records includes a computer memory storing aggregated electronic health records from a multitude of patients of diverse age, health conditions, and demographics including medications, laboratory values, diagnoses, vital signs, and medical notes. The aggregated electronic health records are converted into a single standardized data structure format and ordered arrangement per patient, e.g., into a chronological order. A computer (or computer system) executes one or more deep learning models trained on the aggregated health records to predict one or more future clinical events and summarize pertinent past medical events related to the predicted events on an input electronic health record of a patient having the standardized data structure format and ordered into a chronological order.

Abstract: Systems and methods for multiplexing of a dedicated communication channel for multiple entities, including initiating, at a first entity, a request to share data with a second entity; sharing a portion of an aggregate record for the with the second entity including creating an entity-specific copy; initiating, at the first entity, a request to share data with a third entity; and sharing a portion of the aggregate record with the third entity including creating an entity-specific copy. The portions shared with the second and third entities are dependent on data sharing rules defining shared data, linked data, and entity-specific data that is i) nonsynchronous and ii) provided for display only at the entity associated with the data.

Abstract: A client device presents a user interface including a macro entry field for defining a macro indicator from a plurality of macro indicators and transmits the macro indicator. A server stores a database of macro-based diagnoses, each macro-based diagnosis associated with one or more elements of an accession, and one or more specimens associated with the accession. The server also receives the macro indicator from the client device, retrieves an initial diagnosis from the database of macro-based diagnoses responsive to the macro indicator, and transmits the initial diagnosis. The client device, receives the initial diagnosis, pre-populates one or more text boxes on the user interface with information from the initial diagnosis, and enables the user to edit the pre-populated one or more text boxes.

Abstract: The present invention provides systems and methods for use with electronic records, such as Electronic Medical Records (EMRs). A parser engine may receive a stream of Health Level 7 (HL7) messages containing EMR data and, using parsing logic, parse the HL7 messages to identify and extract specified EMR data therefrom. The extracted EMR data may be combined with analytic results data and presented via a trackerboard with refresh and writeback capability, to a medical professional or medical staff member, in real time or near real time relative to entry of the EMR data into an EMR system.

Abstract: The quality of predictive model outputs is improved by improving input data in the cases where entities in the input data are associated with one or more classes, computed at least in part from one or more subsets of the input data. Class association function characteristic data is derived from information describing a class association function that generates input data from source data. The class association function characteristic data comprises inferences relating to operation of the class association function that are not derivable solely from the input data. The input data is transformed into improved input data using a constructed class-specific transformation function and the class association function characteristic data.

Abstract: A system for selecting an ameliorative output using artificial intelligence includes at least a server configured to receive at least a prognostic output. At least a server is configured to generate a plurality of ameliorative outputs as a function of at least a prognostic output wherein the plurality of ameliorative outputs include at least a short-term indicator and at least a long-term indicator. At least a server is configured to receive at least a user life element datum wherein the at least a user life element datum includes at least a user life quality response. At least a server is configured to generate a loss function of the plurality of short-term indicators and the plurality of long-term indicators using at least a user life element datum. At least a server is configured to select at least an ameliorative output from a plurality of ameliorative outputs to minimize the loss function.

Abstract: The present disclosure is directed to systems and methods for developing an individual-specific patient baseline for a target patient. An exemplary method involves: determining one or more acuity scores for the target patient; identifying patient health data corresponding to one or more low acuity time periods; storing retrospective clinical data from a group of patients in a second database; comparing the patient health data corresponding to the one or more low acuity time periods with retrospective clinical data from a group of patients by identifying one or more patient subgroups; determining the individual-specific patient baseline using an adaptive baseline selection algorithm, wherein the adaptive baseline selection algorithm is used to determine whether to determine the individual-specific patient baseline using patient health data or using retrospective clinical data from one or more patient subgroups; and displaying, using a user interface, the individual-specific patient baseline.