Systems and methods for dynamic data processing and graphical user interface generation are provided. A system may include a network interface configured to request and receive, via a computer network from one or more sources in remote locations, electronic record data associated with an individual; an input filter configured to identify structured and unstructured information in the electronic record data; a data selector configured to analyze the structured and unstructured information; a timeline generator configured to generate, based on the analysis, interface information for displaying an interactive graphical user interface configured to present an event timeline of events in the electronic record data; and a display configured to provide the interactive graphical user interface based on the generated interface information.

Implementations described herein relate to methods, systems, and computer-readable media to obtain snapshots used for analysis of streaming data. In some implementations, a computer-implemented method includes receiving initial data that includes a plurality of identifiers and corresponding timestamps, generating and storing a snapshot based on the initial data, wherein the snapshot includes the identifiers and a corresponding status, receiving a data stream that includes a subset of the identifiers, activity information for each identifier in the subset, and corresponding timestamps. The method further includes periodically analyzing the data stream to obtain a delta that includes an updated status for each identifier in the subset, storing the delta separate from the snapshot. The method further includes receiving a request for identifiers that are active in a particular time period, and based on the particular time period, retrieving active identifiers from the data stream, the delta, or the snapshot.

In part, the disclosure relates to a backup and restoration system for a transactional log based journaling application. The system includes a transactional log backup process executing on one or more computing devices; an archive stored in non-transitory computer readable memory; and a binary difference file generator in electronic communication with the archive and responsive to instructions from the transactional log backup process. In one embodiment, the binary difference file generator includes a backup driver in electrical communication with and responsive to communication signals from the transactional backup process.

Methods and systems are disclosed herein for using artificial intelligence to determine which standardized text description an adverse event reported by a patient may match with. Artificial intelligence/machine learning may be used to determine matches between standardized text descriptions of adverse events and other text descriptions of adverse events (e.g., text descriptions input by patients that have taken a drug). Techniques described herein may improve the functioning of a computing system by allowing it to perform an action that it otherwise could not perform (e.g., determining a standardized text description for an adverse event experienced by a patient).

Methods and systems are disclosed herein for using artificial intelligence to determine which standardized text description an adverse event reported by a patient may match with. Artificial intelligence/machine learning may be used to determine matches between standardized text descriptions of adverse events and other text descriptions of adverse events (e.g., text descriptions input by patients that have taken a drug). Techniques described herein may improve the functioning of a computing system by allowing it to perform an action that it otherwise could not perform (e.g., determining a standardized text description for an adverse event experienced by a patient).

Computer-implemented systems and methods are disclosed to interface with one or more storage devices storing a plurality of documents, wherein each of the plurality of documents is associated with one or more tags of one or more predefined hierarchies of tags, wherein the one or more hierarchies of tags include multiple dimensions. In accordance with some embodiments, a method is provided to identify one or more documents from the data storage devices. The method comprises acquiring, via an interface, a selection of one or more tags of the one or more predefined hierarchies of tags. The method further comprises identifying one or more documents from the data storage devices in response to the selection, the identified one or more documents having tags that have a relationship with the selected tags, and providing data corresponding to the identified documents for displaying in the interface.

A filter request for a data set indicates a query specification and one or more sub-range indicators of a disjoint subset descriptor. Corresponding the individual data records obtained from the data set using the query specification, a respective range mapping value is generated. Using the range mapping values and the sub-range indicators, a result set of the filter request is obtained.

A user device transmit a natural language query with a request for a description of videos stored in a media repository. A query system receives the query and determines a command associated with obtaining the requested description of the videos stored in the media repository requested by the query. The determined command corresponds to an image analysis to perform on at least a portion of the stored videos. The query system determines, based at least in part on the determined command, an artificial intelligence model to execute on at least the portion of the stored videos. The query system determines, by executing the determined artificial intelligence model, a model output that includes the requested description of the videos stored in the media repository. The query system provides a response to the query. The response includes the requested description of the videos stored in the media repository.

Systems and techniques are described for efficient, general-purpose, and potentially decentralized databases, distributed storage systems, version control systems, and/or other types of data repositories. Data is represented in a database system in such a way that any value is represented by a unique identifier which is derived from the value itself. Any database peer in the system will derive an identical identifier from the same logical value. The identifier for a value may be derived using a variety of mechanisms, including, without limitation, a hash function known to all peers in the system. The values may be organized hierarchically as a tree of nodes. Any two peers storing the same logical value will deterministically represent that value with a graph, such as the described “Prolly” tree, having the same topology and hash value, irrespective of possibly differing sequences of mutations which caused each to arrive at the same final value.

A mechanism is provided in a data processing system to implement a medical concept searching engine for improving searches of medical concepts based on an index model. The mechanism generates a concept index model data structure that records medical concepts and corresponding numbers of instances of the medical concepts in the corpus of documents. Responsive to receiving a search request from a user, the medical concept searching engine identifies at least one medical concept in the search request and one or more related medical concepts that are related to the at least one medical concept based on an ontology data structure. The medical concept searching engine generates a bubble graph user interface comprising a plurality of bubbles corresponding to the at least one medical concept and the one or more related medical concepts.