Abstract: Provided are an information processing apparatus, an information processing method, and a program capable of performing analysis of a text with high accuracy. An information processing apparatus includes one or more processors and one or more memories that store a command executed by the one or more processors. The one or more processors are configured to acquire a text, classify attributes of information described in the text into a fixed unit of the text, analyze the text for each of the same classifications based on a result of the classification, and output a result of the analysis.

Abstract: An embodiment relates to a system of a vehicle comprising a first vehicle ecosystem module comprising a first communication system and a first vehicle ecosystem unit comprising a local environment matrix, and a global governance module that is internal or external to the system, wherein the global governance module comprises a learning agent and a second communication system comprising a protocol unit, wherein the learning agent is configured to learn continuously and update rules for an outcome of the first vehicle ecosystem module when power in the vehicle is turned on, wherein the system is configured for autonomous communication between the first vehicle ecosystem unit and a second vehicle ecosystem unit, wherein the second vehicle ecosystem unit is either internal or external to the system.

Abstract: Systems and processes for synchronizing disparate applications are described herein. In various embodiments, the process includes: (1) receiving and validating a log-in request; (2) receiving a request submission comprising a plurality of data items; (3) writing the plurality of data items into a dynamic and scalable data model; (4) determining request parameters associated with the plurality of data items; (5) determining a recommended deployment strategy based on the one or more parameters and characteristic values stored in the data model; (6) generating a and transmitting one or more notifications according to the recommended deployment strategy; and (7) generating and/or modifying a display based on the notification(s).

Abstract: The present disclosure describes an exemplary system and method for the digitization of tissue slides based on associations among serial sections. The system includes at least a computing device, wherein the computing device includes a memory and processor communicatively connected to one another, and a scanner, configured to scan a slide and send a digitized image of the slide to the computing device. A method for the digitization of tissue slides based on associations among serial sections may include receiving a candidate tissue map associated with a candidate tissue section, receiving a reference tissue map associated with a reference tissue section, aligning the candidate tissue map to the reference tissue map, comparing the aligned candidate tissue map to the reference tissue map, and generating a regenerated candidate tissue map as a function of the reference tissue map.

Abstract: A medical treatment support apparatus according to one embodiment includes processing circuitry. About a treatment plan for a disease of a patient, the processing circuitry predicts a decision of subjects who are the patient or people who are involved with the patient and a decision of a doctor who determines the treatment plan for the subject. The processing circuitry presents information based on a result of the prediction to the doctor and at least one of the subjects.

Abstract: Encrypting a verifiable credential (VC) and generating one or more instructions, at least one of which grants a scope of permission associated with the VC to the relying entity. The scope of permission includes permission to access a subset of data contained in the VC or a portion of data that can be derived from data contained in the VC. The encrypted VC and the one or more instructions are sent to the credential issuer or the relying entity to cause the credential issuer to generate a response containing the subset of data or the derived data and a proof code. The proof code is configured to prove the validity of the subset of data or the derived data.

Abstract: A system for health services is provided. When a provider partners with the system the provider is assisted with the creation of an introduction video explaining their practice. The provider may also be assisted in the creation of videos that correspond to the top conditions or diseases treated by the provider as well as the top medicines that are prescribed. When a patient schedules a health service, the patient is initially provided the introduction video for the provider. During the health service, the system collects the health data entered or spoken by the provider. Based on the monitored data, the system automatically recommends relevant videos or content that may be included in a report for the patient. After the health service is completed, the system may further assist the provider in creating a video that explains the diagnosis and recommended treatment regiments.

Abstract: A public event administrating system is disclosed. The public event involves a plurality of individuals and the administrating system includes: a data collecting module, a data processing module, a medical resource scheduling module, and a grid administrating module. The data collecting module is configured to acquire initial data about the public event from a plurality of data sources. The data processing module is configured to process the initial data to acquire processed data. The medical resource scheduling module is configured to receive an individual service request and allocate currently available medical resources to an individual requesting service at least according to the individual service request. And, the grid administrating module is configured to divide a geographic region managed by the administrating system into a plurality of grids, and assign a plurality of grid administrators to the plurality of grids to respectively administrate individuals in the plurality of grids.

Abstract: An electronic prescription processing system capable of direct two-way electronic communications between a physician practice management system and a pharmacy system uses a multi-path clearinghouse. In one example, the multi-path electronic prescription processing system creates electronic prescriptions with an electronic signature and allows for the interface with the pharmacy computer system such that an image of an electronic prescription and prescription information are directly auto-populated into an entry screen of the pharmacy computer system including specific queries being resolved by the multi-path clearinghouse.

Abstract: Systems and methods for operating a communication device. The methods comprise: receiving a signal at the communication device; performing, by the communication device, one or more machine learning algorithms using at least one feature of the signal as an input to generate a plurality of scores (each score representing a likelihood that the signal was modulated using a given modulation type of a plurality of different modulation types); assigning a modulation class to the signal based on the plurality of scores; determining whether a given wireless channel is available based at least on the modulation class assigned to the signal; and selectively using the given wireless channel for communicating signals based on results of the determining.

Abstract: An information processing system includes a user terminal that receives input from a user; an operator terminal that receives input from an operator; and one or more information processing apparatuses connected to the user terminal and the operator terminal. The information processing system includes circuitry configured to: acquire identification information from the user terminal and input information input to the user terminal; search response information for the input information; respond to the user terminal with the response information in response to the input information; determine, based on the identification information acquired from the user terminal, whether to perform a switching operation to perform a chat between the user terminal and the operator terminal; and control the switching operation based on a determination result.

Abstract: Described herein are a system, method, and device for configuring a generative machine learning model using a syntactic interface. A system may include a user interface, a memory, and a processor configured to, using a syntactic interface displayed using the user interface, receive a syntactic interface input from a user; identify an electronic medical record (EMR) by generating an EMR database query as a function of the syntactic interface input, querying an EMR database using the EMR database query, and receiving, from the EMR database, an EMR database response; generate a prompt as a function of the syntactic interface input; generate a first generative model output as a function of the prompt and the EMR using a trained generative machine learning model; and using a conversational interface displayed using the user interface, display the first generative model output to the user.

Abstract: Methods and systems for classifying and editing insurance claims records are described. In one embodiment, a method, which can be performed by a processor, includes identifying that a first prescription drug prescribed to a first patient, identifying a first date and a second date related to the first prescription, the second date occurring after the first date, both the first and second dates depending on a previous fill of the first prescription drug, identifying, at the processor, a third date associated with a second prescription, comparing, at the processor, the third date to the first and second dates to determine whether the third date occurs after the first date and before the second date, and filling and dispensing the first prescription drug and the second prescription drug on the same dispense date when the third date occurs after the first date and before the second date.

Abstract: A single- or multiple-user messaging-based logging system automatically incorporates external data and ensures that every communication has complete metadata of relevant metrics, enables easy real-time visualization and reflection on those metrics, and ensures that the structured log entry is recorded by understanding the natural communication (text, voice, images, etc.) among participants without requiring a separate step of logging the action. In embodiments, one or more devices are alerted immediately based on which caregivers are predicted via sensors and automatic and manual configurations are most likely to be able to meaningfully and quickly correct the alertable condition. Embodiments also leverage feedback about the correction of the alertable condition to terminate alerts on other devices or feedback about the non-correction of the alertable condition to re-assign and escalate an alert to other devices and caregivers for them to have a follow-up chance to correct the alertable condition.

Abstract: A method, computer program, and computer system are provided for text summarization that maintains emotional content. Data corresponding to text to be summarized and a target emotion to be maintained in the text to be summarized is received. The target emotion is encoded as an emotion probability vector. One or more words that correspond to the target emotion that is encoded in the emotion probability vector are identified from a dictionary. A text summary to be associated with the text to be summarized is generated based on the one or more identified words.

Abstract: A method, computer program product, and computing system for: monitoring a meeting between a patient and a medical entity during a medical encounter; gathering information during the medical encounter, thus generating gathered encounter information; generating medical encounter topical information via artificial intelligence, wherein the medical encounter topical information is based at least in part upon the gathered encounter information and is configured to provide guidance to the medical entity concerning one or more topics to be discussed during the medical encounter; and providing the medical encounter topical information to the medical entity.

Abstract: Embodiments of the present systems and methods may provide techniques to predict the success or failure of a drug used for disease treatment. For example, a method of determining drug efficacy may include, for a plurality of patients, generating a directed acyclic graph from health related information of each patient comprising nodes representing a medical event of the patient, at least one first edge connecting the first node to an additional node, each additional edge connecting nodes representing two consecutive medical events, the edge having a weight based on a time difference between the two consecutive medical events, capturing a plurality of features from each directed acyclic graph, generating a binary graph classification model on captured features of each directed acyclic graph, determining a probability that a drug or treatment will be effective using the binary graph classification model, and determining a drug to be prescribed to a patient based on the determined probability.

Abstract: In certain aspects, the disclosed implementations include methods and systems for dynamically generating and determining transaction affinity relationship information associated with a set of merchants involved in a set of transactions. In certain implementations, the transaction affinity relationship information may reflect affinity relationships between merchant chains in a merchant affinity network. The disclosed implementations may receive an adjustment to an affinity relationship associated with a merchant chain, and based on the adjustment, predicts one or more changes to affinity relationships associated with other merchant chains in the merchant affinity network.

Abstract: An EMS medical record acquisition system is provided. The system is configured to provide medical record information to an EMS rescuer in a mobile EMS environment. The system includes a user device, a patient identification data source, and a medical record digest system. The digest system is coupled to the user device and to the patient identification source. The digest system receives identification data from the patient identification source, queries a medical record repository using the identification data, receives a medical record for the patient from the medical record repository, generates a reference code based on the identification data, stores the medical record with the reference code, transmits the reference code to the user device, receives a query including the reference code from the user device, generates a digest at least a portion of the medical record, and provides the digest to the user device.

Abstract: A server is provided and is programmed to automatically determine, based on the identification data that uniquely identifies a patient device, whether there is an upgrade to the code or data (e.g., software or firmware) stored in the electronic memory of the patient device that can be applied thereto. In response to determination that there is an upgrade that can be applied, a data package is delivered to the patient device via the first wireless transceiver, the data package to be automatically applied to the electronic memory of the patient device.

Abstract: Systems and methods for selecting a treatment regimen for a particular patient are provided. The treatment regimen is selected using a first data store including a first plurality of patient records for a first plurality of patients, and a second data store including efficacy rates of a plurality of treatment regimens against a plurality of infections and infection-causing pathogens. The system, or a user of the system, identifies a first infection of the particular patient and a first treatment regimen to be prescribed to treat the first infection. A second plurality of patient records is generated by identifying, in the first plurality of patient records of the first data store, patient records associated with diagnosis or treatment of the first infection. The second plurality of patient records are appended with efficacy rates for the first infection from the second data store.

Abstract: Systems and methods herein describe probability-based health claims processing. The described systems and methods access a plurality of pharmacy claims, determine an aggregate rating of the pharmacy claims based on pharmacy claims data, submit a first subset of pharmacy claims to a first pharmacy claims approval system, submit a second subset of pharmacy claims of the plurality of pharmacy claims to a second pharmacy claims approval system, receive, from the first pharmacy claims approval system, a first set of decisions for the first subset of pharmacy claims, and, receive from the second pharmacy claims approval system, a second set of decisions for the second subset of pharmacy claims.

Abstract: Methods and systems create a data asset generator based on a knowledge-graph-based recommendation engine to present data asset type options to a user generating a data asset. The data asset type options are contained in a template. The user is required to use the templates generated by the system when creating a data asset. The templates are based on ontologies, which are based on a knowledge graph that stores the relationships between data asset types. Data asset types correlate to data asset characteristic clusters, which are clusters of keywords from previously generated data assets. The templates may help users select relevant data asset types and ensure regulatory compliance. By requiring a user to modify or adapt the template, data assets being generated may be standardized among previously generated data assets and data assets being generated, which may reduce querying conflicts and improve the readability and interoperability of datasets.

Abstract: The systems and methods of the disclosure can rapidly and automatically determine and monitor tracking events by generating event codes using messages from multiple source systems within the healthcare ecosystem. The method may include detecting one or more healthcare data messages of a plurality of types of healthcare data messages associated with healthcare of a patient. The method may include extracting text of each message of the first type and processing the extracted text of each message to determine one or more units of text. The method may include determining one or more tracking events by applying one or more trained models to each unit of text of each message. The method may include storing one or more event codes corresponding to the one or more tracking events and its associated deadline in a record for the patient of the tracking event database.

Abstract: Systems and methods are provided for managing patient assistance requests in a healthcare facility, documenting items (e.g., minor, routine, and/or frequently-performed items) in association with a patient's records in an Electronic Healthcare Information System, and cancelling patient requests for assistance. Indications that requests for assistance have been received and/or are being addressed by an appropriate healthcare team member may be audibly output from a speaker associated with a personal assistant device. Healthcare team members may verbally provide items for documentation in association with a patient's medical records, the items for documentation being received by a listening component of a personal assistant device and transmitted to an EHIS for documentation.

Abstract: Described herein is a cohort engine that generates a cohort of patients with respect to a selected key patient record. The cohort engine receives, via a first user interface (UI), a key patient record. A patient-cohort generator is launched to determine an initial set of patient records that are to be included in the patient cohort. A second UI is configured to provide the initial set of patient records, where the second UI comprises at least three panes. Upon receiving, via the second UI, an input corresponding to at least one identifier being modified, an equation (i.e., query) is generated based on a combination of identifiers included in the second pane. An updated set of patient records is provided in a third pane of the second UI in response to the at least one identifier being modified.

Abstract: A system for managing an alarm issued by a medical device being used to treat a patient is disclosed. The system includes a processor coupled to at least one of the medical device, a monitoring system being used to monitor the patient, and a hospital system. The system also includes a memory coupled to the processor. The memory contains data and instructions that, when loaded into the processor and executed, cause the processor to receive the alarm and retrieve information from one or more of the medical device, the monitoring system, and the hospital system. The information comprises a dynamic attribute associated with the patient. The system then assigns a sub-priority to the alarm based in part on evaluation of the dynamic attribute and provides an alert to a staff member.

Abstract: A distributed system can include a server outside of a clinical environment and a connectivity adapter and a plurality of infusion pumps within the clinical environment. The connectivity adapter can monitor microservices that measure the quality of connectivity adapter's performance. If the performance is below a threshold level, a message indicating poor performance can be sent to the server. The message can be sent when a prior message relating to poor performance has not already been sent within a predetermined time period.

Abstract: Provided is a system and method for automated patient interaction. The method includes parsing a patient complaint comprising a plurality of words, determining a subset of patient queries from a plurality of patient queries based on the patient complaint and patient data, communicating the subset of patient queries to a first computing device; receiving, from the first computing device, responses to at least a portion of the subset of patient queries; generating output data based on the subset of patient queries and the responses; communicating the output data to a second computing device; receiving, from the second computing device, a user input corresponding to at least one patient query of the subset of patient queries; and training, based on the user input, at least one machine-learning algorithm configured to output at least one patient query based on at least one of the patient complaint and a subsequent patient complaint.

Abstract: An electroencephalography (EEG) system includes a support configured to be positioned at least partially around the head of a user, an EEG electrode configured to be supported by the support and to be positioned for contacting skin of the user, an actuator operatively coupled to the EEG electrode and configured to move the electrode in at least two dimensions, including an axial dimension and a lateral dimension to enable the EEG electrode to contact the skin at different locations, and one or more physical processors operatively connected with the EEG electrode and the actuator. The one or more physical processors being programmed with computer program instructions which, when executed cause the one or more physical processors to: obtain an impedance signal from the EEG electrode; and actuate the actuator to move the EEG electrode based on a comparison of the obtained impedance signal with an impedance threshold.

Abstract: A system for selecting a treatment schema based on user willingness includes at least a first computing device configured to receive at least a user constitutional datum and at least a user ailment state from at least a second computing device. At least a first computing device is configured to determine, with an adaptive machine learning module, at least a remedial process label. At least a first computing device is configured to derive a remedial attribute list, wherein the remedial attribute list further comprises a plurality of remedial attribute list entries. At least a first computing device is configured to generate a plurality of treatment schemas. At least a first computing device is configured to select a treatment schema from the plurality of treatment schemas. At least a first computing device is configured to transmit the selected treatment schema to at least a second computing device.

Abstract: A system for optimizing resource allocation includes and/or interfaces with: a set of contextual data sources; a decision-making subsystem; and a set of schedules. Additionally or alternatively, the system can optionally include and/or interface with a set of user interfaces, memory, a set of data collection, and/or any other suitable components. A method for resource optimization includes: receiving a set of inputs; and processing the set of inputs and/or contextual data with a set of models to produce a set of schedules. Additionally or alternatively, the method can include any or all of: training the set of models; pre-processing the set of inputs to supplement the set of contextual data; dynamically adjusting the set of schedules; triggering a set of actions based on the set of schedules; updating the set of models; and/or any other processes.

Abstract: A system includes a surgical cart that includes a local client access point, a monitor, a cart computer, a first external interface coupled to the local client access point, and a second external interface coupled to the primary monitor. The surgical cart can host a web server to which one or more client devices can connect using a web browser. The web server can provide access to one or more surgical applications hosted by the surgical cart during a surgery.

Abstract: A medical image diagnostic apparatus of an embodiment includes processing circuitry. The processing circuitry executes a scan based on a protocol designated by a user. The processing circuitry extracts a candidate protocol to be executed next to the protocol, based on protocol order information in which identification information that indicates each of a plurality of candidate protocols that can be executed starting from a specific protocol, and order information in which each candidate protocol is executed, are correlated with each other. The processing circuitry outputs the extracted candidate protocol.

Abstract: The invention provides a radiology report editing method and system.

Abstract: An inbound message including medical record content may be received. The inbound message may indicate a healthcare entity and a vendor entity. It may be determined, from the healthcare entity and stored correspondences between medical record formats and healthcare entities, that the medical record content of the inbound message is in a first medical record format. Which configuration record of stored configuration records specifying combinations of sets of rules may be determined to apply as a translation to the inbound message based upon the medical record content of the inbound message and the first medical record format. The sets of rules as indicated by the configuration record may be accessed and applied to the inbound message to translate the medical record content in the inbound message from the first medical record format to the standardized format. The standardized format may be transmitted to the vendor entity.

Abstract: Systems and methods are provided for assisting individuals with physical and/or cognitive ailments, such as dementia, Alzheimer's disease, and/or visual impairment. The quality of life, safety, and/or autonomy of such individuals can be enhanced by utilizing a combination of sensors, actuators, augmented reality (AR) technology, and machine learning (ML) algorithms. The sensors and actuators can include (but are not limited to) cameras, global positioning system (GPS) sensors, accelerometers, motion sensors, AR visual systems, headphones, microphones, haptic feedback systems, and/or connectivity capabilities (wired and/or wireless) to provide information about the surrounding environment and events. By leveraging advanced sensor technology, AR, and real-time data processing, a comprehensive support system can be provided that addresses the unique challenges faced by these individuals on a daily basis.

Abstract: A system and method including calculating a plurality of risk scores associated with a pool of quantum computers, and selectively distributing, based on the plurality of risk scores, each of the plurality of blocks to a single quantum computer of the pool of quantum computers to cause the single quantum computer to generate a block output by processing the block.

Abstract: A system for population health management to enable policy holders to defer long term care for the near term includes an external data gatherer, a model builder and an intervention determiner. The external data gatherer gathers data about a plurality of policy holders from at least two of medical records, direct observation, third party data sources, and questionnaires about lifestyles, family and caregivers. The model builder builds a model from at least one of scientifically based research and the gathered data and determines which of the policy holders are likely to claim for long term care in the near term. The intervention determiner determines, for a particular policy holder, at least one scientifically based intervention to improve a probability that the particular policy holder remain at home for another year.

Abstract: A procedure for the global unified registration and universal identification of donors is described. The method includes a creation of one or more donor profiles, relevant medical data profiles, and a public common donor identifier from an initial registration. The procedure further includes identifying the donor by a donation center through a personal and non-transferable code for access to the data, the public common donor identifier and the stored profiles. The procedure automatically updates donor's data, profiles, and donation history in a database accessible by different donation centers.

Abstract: A user score of a test for assessing a risk of a user of having or developing a contagious illness may be obtained, for each user of a plurality of users entering in a group setting. A group score based on the user scores associated with the plurality of users in the group setting may be generated. The group score indicating a group risk of a presence or development of the contagious illness in the group setting may be communicated for display. Group scores associated with a plurality of group settings may be obtained and communicated for display. A message may be communicated to a mobile user device indicating a group setting as a current high risk group setting, being associated with a score that is outside a limit set by a threshold value and with a location in proximity to a current location of the mobile user device.

Abstract: A system to allocate resources via information technology infrastructure is described. A server includes processors to provide to a plurality of devices, an electronic benefits account transaction application programming interface (“API”) configured to receive transaction requests from a plurality of heterogeneous electronic funding sources. The server can receive a request to initiate a single transaction to fund an electronics benefit account. The server can transmit data in an alert format indicating a denial of the single request responsive to a comparison of a value to one or more threshold limits.

Abstract: Artificial intelligence (AI) based technologies for improving patient intake are disclosed herein. An example method includes receiving a patient intake request from a user; initiating, based on the patient intake request, a patient intake data stream including verbal responses from the user regarding patient intake of the user; applying, while simultaneously receiving the patient intake data stream, a natural language processing (NLP) model to the verbal responses from the user to output (i) textual transcriptions and (ii) intent interpretations; generating, by a care plan generation module, a recommended care plan based on the textual transcriptions and the intent interpretations; identifying, by an intent interpretation fulfillment module, one or more recipient entities to receive the textual transcriptions and the recommended care plan; and transferring the textual transcriptions and the recommended care plan to one or more recipient entity devices of the one or more recipient entities.

Abstract: Described herein are methods, devices, media, and systems for automatic public safety answering point lookup, location tracking of first responders, and facilitating data exchange during emergency communications.

Abstract: A risk-based patient monitoring system for critical care patients combines data from multiple sources to assess the current and the future risks to the patient, thereby enabling providers to review a current patient risk profile and to continuously track a clinical trajectory. A physiology observer module in the system utilizes multiple measurements to estimate Probability Density Functions (PDF) of a number of Internal State Variables (ISVs) that describe a components of the physiology relevant to the patient treatment and condition. A clinical trajectory interpreter module in the system utilizes the estimated PDFs of ISVs to identify under which probable patient states the patient can be currently categorized and assign a probability value that the patient will be in each of the identified states. The combination of patient states and their probabilities is defined as the clinical risk to the patient.

Abstract: There is provided a computer implemented method for predicting a headache for a subject, comprising: feeding a plurality of physiological, behavioral, and environmental parameters obtained from a plurality of sensors monitoring the subject, into a machine learning model, and obtaining the prediction of the headache for the subject as an outcome of the machine learning model, wherein the machine learning model is trained on a training dataset of a plurality of records of a plurality of sample individuals, wherein a record includes a plurality of sample physiological, behavioral, and environmental parameters of a sample individual and a ground truth label indicative of a state of a headache of the sample individual.

Abstract: Embodiments provide methods of conducting operations with an implantable medical device (IMD) and an external controller device for performing authentication operations. In some embodiments, the method comprises: generating or storing an authentication data structure in the external controller device for over-the-air communication between the external device and the IMD, wherein the authentication data structure is generated by: (1) removing attribute fields from a first digital certificate and adding a public key of the external controller device to form an intermediate data structure; (2) creating a digital signature of the first intermediate data structure using a second digital certificate of an issuing certificate authority (CA); and (3) forming the authentication data structure by combining the intermediate data structure, the created digital signature, a public key of the issuing CA, and a digital signature of the public key of the issuing CA created using a third digital certificate of a root CA.

Abstract: A method for providing treatment recommendations for a patient to a physician is disclosed. The method includes receiving health information associated with the patient, determining a first risk score for the patient based on the health information using a trained predictor model, determining a second risk score for the patient based on the health information and at least one artificially closed care gap included in the health information using the predictor model, determining a predicted risk reduction score based on the first risk score and the second risk score, determining a patient classification based on the predicted risk reduction score, and outputting a report based on at least one of the first risk score, the second risk score, or the predicted risk reduction score.

Abstract: A computer-implemented system includes one or more processing devices configured to receive attribute data associated with a user, generate, based on a cardio-oncologic condition of the user, a selected set of the attribute data, determine, based on the selected set of the attribute data, a first probability of improving a cardio-oncologic condition of the user subsequent to at least one of a cardio-oncologic procedure and a cardio-oncologic treatment being performed on the user, and generate, based on the first probability, a treatment plan that includes one or more exercises directed to modifying the first probability, and a treatment apparatus configured for implementation of the treatment plan.

Abstract: In an example, a server associated with a healthcare management service provider can receive first instructions defining rule(s) associated attribute(s) of a claim and/or a target member of a healthcare management service provider. The server can receive second instructions defining a schema for translating the rule(s) into logical expression(s). Using the rule(s) and/or the logical expression(s), a first data entry can be identified. A second data entry can be identified using a model. The server can generate an output identifying the first data entry and the second data entry and can perform an operation based at least in part on the output.