Abstract: Computer program products, methods, systems, apparatus, and computing entities are described for identifying significant incidental findings from medical records. In one example embodiment, an example computing device receives a medical report and derives a textual component from the medical report. The computing device then identifies one or more medical findings from the textual component and determines a clinical context for each of the one or more medical findings. The computing device then identifies one or more clinical cues from the one or more medical findings and generates one or more condition signals from the one or more clinical cues. The computing device then generates a condition alert from the one or more condition signals. The condition alert is indicative of a significant incidental finding. Using various embodiments contemplated herein, significant incidental findings can be identified for follow-up by a user.

Abstract: There is a need for more effective and efficient data evaluation. This need can be addressed by, for example, techniques for data evaluation in accordance with a shared decision tree data object. In one example, a method includes generating, using a plurality of feature extraction threads, shared evidentiary data; generating, based on a selected shared evidentiary data subset of the shared evidentiary data that correspond to one or more selected nodes of the shared decision tree data object, refined evidentiary data; processing the refined evidentiary data in accordance with the shared decision tree data object to generate an evaluation output and an explanation output; and displaying an evaluation output user interface comprising user interface data describing the evaluation output and the explanation output.

Abstract: A computing system may receive a verification of benefits (VoB) request that identifies a subscriber and a healthcare provider that submitted the VoB request. The VoB request may comprise a request for the computing system to verify that a health insurance policy of the subscriber is active. In response to determining that the health insurance policy of the identified subscriber is active, the computing system may determine whether to send a subscriber alert to the subscriber. The subscriber alert may notify the subscriber that the healthcare provider has been requested to perform a healthcare action for the subscriber in the future as of a time the healthcare provider submitted the VoB request. Based on a determination to send the subscriber alert, the computing system may initiate a process to send the subscriber alert.

Abstract: Various embodiments of the present disclosure provide methods, apparatus, systems, computing devices, computing entities, and/or the like for multi-node system monitoring using one or more distributed ledgers, wherein a ledger entry request received from a miner node computing entity is validated based at least in part on executing a hierarchical validation workflow that comprises an ordered sequence of L validation iterations, wherein each of one or more ith non-initial validation iterations is performed based at least in part on an association of an (i?1)th validation iteration with a non-affirmative validation determination.

Abstract: There is a need for more accurate and more efficient natural language solutions with greater semantic intelligence. This need can be addressed, for example, by natural language processing techniques that utilize predictive entity scoring. In one example, a method includes determining an overall prevalence score for the input entity data object with respect to a scored document corpus and a target section; determining a qualified prevalence score for the input entity data object with respect to a high-scoring subset of the scored document corpus; processing the input entity data object using an entity scoring machine learning model to generate the predicted entity score, wherein the entity scoring machine learning model may characterized by a plurality of multiplicative hyper-parameters and one or more additive hyper-parameters; and performing one or more prediction-based actions based at least in part on the predicted entity score.

Abstract: A method for generating a feature store comprises receiving an indication of user input indicating a database management system and a server system hosting a target database; and in response to receiving the indication of user input: determining a connection string for the target database; using the connection string to connect to the target database via the database management system; after connecting to the target database, generating a structure of the feature store in the target database; and populating the feature store with predefined feature values.

Abstract: Various embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for performing predictive structural analysis. Certain embodiments of the present invention utilize systems, methods, and computer program products that perform digital document analysis using at least one of spatial fingerprint document image pair distance measures for document image pairs, object fingerprint document image pair distance measures for document image pairs, and semantic fingerprint document image pair distance measures for document image pairs.

Abstract: Certain embodiments provide systems, methods, and computer program products that administer pain management treatments remotely, according to a dynamic prescription. In some embodiments, the dynamic prescription provides for changes in a dosage of a medication or electrical stimulation, based for instance upon changes in the patient's pain tolerance level, biological indicators, or behavioral characteristics. In some embodiments, if it is determined that a dosage change is needed, the dosage change can be compared against the dynamic prescription to determine whether the dosage change is permitted within the scope of the dynamic prescription. In some embodiments, if the dosage change is determined to be outside what is permitted by the scope of the dynamic prescription, the updated dosage information can be provided to the patient's physician for authorization of the updated dosage.

Abstract: Various embodiments of the present invention disclose techniques for traversal path optimization given a traversal network comprising a group of nodes comprising a plurality of navigation orchestration nodes and using a traversal path optimization machine learning model. In some embodiments, a path feature set is determined for each candidate traversal path of a plurality of candidate traversal paths. A traversal path optimization machine learning model is configured to generate path scores for each candidate traversal path based at least in part on the path feature set.

Abstract: Various methods and systems for generating an instrument positioning map for positioning one or more instruments on a patient body. The methods further correspond to tracking an image of the patient's body together with a known visual landmark positioned at a defined position on the patient's body and receiving image data, wherein the image data comprises a real-time image of the patient's body and the known visual landmark. The methods further include receiving user input identifying a mapping location of one or more instruments relative to the known visual landmark on the real-time image of the patient's body and generating an instrument positioning map for the patient by overlaying the mapping locations of the one or more instruments onto the image data, wherein the instrument positioning map comprises data locating the mapping location of each of the one or more instruments relative to the known visual landmark.

Abstract: Methods, apparatus, systems, computing devices, computing entities, and/or the like for employing machine learning concepts to accurately predict categories for unseen data assets, present the same to a user via a user interface for review, and assign the categories to the data assets responsive to user interaction confirming the same.

Abstract: There is a need for more effective and efficient information deficiency processing. This need can be addressed by, for example, solutions for performing/executing label-based information deficiency processing. In one example, a method includes receiving a predictive input associated with a predictive entity based on the predictive input; determining a plurality of encoding probability values for the predictive entity based on the predictive input; determining a plurality of attention-based encoding vectors for the predictive entity based on the plurality of encoding probability values; determining an encoding deficiency prediction for the predictive entity, wherein the encoding deficiency prediction indicates a deficient subset of a plurality of encoding designations; and for each encoding designation in the deficient subset, performing a corresponding prediction-based action.

Abstract: Systems and methods are configured for correcting the orientation of an image data object subject to optical character recognition (OCR) by receiving an original image data object, generating initial machine readable text for the original image data object via OCR, generating an initial quality score for the initial machine readable text via machine-learning models, determining whether the initial quality score satisfies quality criteria, upon determining that the initial quality score does not satisfy the quality criteria, generating a plurality of rotated image data objects each comprising the original image data object rotated to a different rotational position, generating a rotated machine readable text data object for each of the plurality of rotated image data objects and generating a rotated quality score for each of the plurality of rotated machine readable text data objects, and determining that one of the plurality of rotated quality scores satisfies the quality criteria.

Abstract: A computing system includes a storage device and processing circuitry. The processing circuitry is configured to obtain an image frame that comprises a plurality of pixels that form a pixel array. Additionally, the processing circuitry is configured to determine that a region of the image frame belongs to a trigger content type. Based on determining that the region of the image frame belongs to the trigger content type, the processing circuitry is configured to modify the region of the image frame to adjust a luminance of pixels of the region of the image frame based on part on an ambient light level in a viewing area of the user; and output, for display by a display device in the viewing area of the user, a version of the image frame that contains the modified region.

Abstract: Methods, apparatus, systems, computing devices, computing entities, and/or the like for contextually optimizing routings for interactions. This may include receiving an interaction, wherein the interaction is selected from the group consisting of a voice-based interaction and a textual-based interaction; receiving an interaction problem statement for the interaction; generating, based at least in part on the interaction problem statement, an interaction problem statement summary, wherein the interaction problem statement comprises the context of the interaction; identifying one or more features for the interaction, wherein the features are input for one or more machine learning models; predicting an optimal route for the interaction, wherein the optimality of each route, hence, the optimal route is determined by the one or more machine learning models; and routing the interaction to the optimal route.

Abstract: There is a need to perform predictive inference to predict likely adverse events of a drug regimen consisting of multiple drugs. In one example, a method includes determining, based at least in part on a graph-based predictive database, one or more predictive categories for each patient node of a plurality of patient nodes; determining, based at least in part on each one or more predictive categories for a patient node and each of one or more patient attribute nodes for a patient node, a related patient cohort for the primary patient node, wherein the related patient cohort comprises the primary patient node and one or more related patient nodes; determining, based at least in part on one or more intake relationships for each patient node in the related patient cohort, a first related drug profile for the primary patient node; and generating a first prediction interface based at least in part on the first related drug profile.

Abstract: Methods, systems, and apparatuses embodied herein control and track access to secured data independent of the asset storing the secured data. In this regard, some embodiments organize volumes including one or more datasets and attach one or more assets to each volume. Some embodiments further receive data permissions of use information, for example from a data steward device, for the volume and datasets, which are registered with the volume and the datasets. Some embodiments further receive a set of restrictions, retrieve the dataset permissions of use information for one or more dataset identifiers, and determine the restrictions do not conflict with the dataset permissions of use information. Some embodiments further generate, and subsequently store, an indication the set of restrictions is valid when the dataset permissions of use information does not conflict. Permissions of use information may be organized into persona data objects assigned to various user profiles.

Abstract: Provided herein are methods, systems, computing devices, and/or computing entities for generating a performance metric recommendation by generating an agent group data object for an agent profile; generating an agent assessment data object for the agent profile; generating an inferred performance gap data object for the agent profile; and generating the performance metric recommendation based at least in part on the inferred performance gap data object.

Abstract: Example embodiments relate to transaction authentication using biometric inputs from multiple users. The biometric inputs are input via a single computing entity simultaneously or within a configurable time period. The biometric inputs can be used to generate a transaction authentication record to authenticate the transaction.