Abstract: A system and associated methods for organizing, representing, finding, discovering, and using data. Embodiments represent information and data in the form of a data structure termed a Feature Graph, that includes nodes and edges, where the edges serve to connect a node to one or more other nodes. A node in a Feature Graph may represent a variable, such as a measurable object, characteristic, or factor of a study. An edge in a Feature Graph may represent a measure of a statistical association between a node and one or more other nodes. Datasets that demonstrate or support the statistical association or measure the associated variable may be accessed through an identifier in a Feature Graph. An application may traverse a Feature Graph and aggregate and process data associated with a set of nodes or edges.

Abstract: Embodiments of the disclosure provide an end-to-end system for extracting statistical relationships from scientific literature using a variety of machine learning (ML) and statistical models, including generative large language models (LLMs). The system is designed to identify and extract two types of statistical relationships: “generic” or effect size relationships and “paired” or group comparison relationships.

Abstract: A system and methods for improving the ability of a business or other entity to monitor business related metrics (such as KPIs) and the evaluation of the quality of the underlying data used to generate those metrics.

Abstract: A system and associated methods for organizing, representing, finding, discovering, and using data. Embodiments represent information and data in the form of a data structure termed a Feature Graph, that includes nodes and edges, where the edges serve to connect a node to one or more other nodes. A node in a Feature Graph may represent a variable, such as a measurable object, characteristic, or factor of a study. An edge in a Feature Graph may represent a measure of a statistical association between a node and one or more other nodes. Datasets that demonstrate or support the statistical association or measure the associated variable may be accessed through an identifier in a Feature Graph. An application may traverse a Feature Graph and aggregate and process data associated with a set of nodes or edges.

Abstract: A system and associated methods for organizing, representing, finding, discovering, and accessing data. Embodiments represent information and data in the form of a data structure termed a “Feature Graph”. A Feature Graph includes nodes and edges, where the edges serve to “connect” a node to one or more other nodes. A node in a Feature Graph may represent a variable, that is, a measurable object, characteristic or factor. An edge in a Feature Graph may represent a measure of a statistical association between a node and one or more other nodes that has been retrieved from a source or sources. Datasets that demonstrate or support the statistical association, or measure the associated variable are “linked to” from the Feature Graph.

Abstract: A system and associated methods for organizing, representing, finding, discovering, and accessing data. Embodiments represent information and data in the form of a data structure termed a “Feature Graph”. A Feature Graph includes nodes and edges, where the edges serve to “connect” a node to one or more other nodes. A node in a Feature Graph may represent a variable, that is, a measurable object, characteristic or factor. An edge in a Feature Graph may represent a measure of a statistical association between a node and one or more other nodes that has been retrieved from a source or sources. Datasets that demonstrate or support the statistical association, or measure the associated variable are “linked to” from the Feature Graph.

Abstract: A system and associated methods for organizing, representing, finding, discovering, and accessing data. Embodiments represent information and data in the form of a data structure termed a “Feature Graph”. A Feature Graph includes nodes and edges, where the edges serve to “connect” a node to one or more other nodes. A node in a Feature Graph may represent a variable, that is, a measurable object, characteristic or factor. An edge in a Feature Graph may represent a measure of a statistical association between a node and one or more other nodes that has been retrieved from a source or sources. Datasets that demonstrate or support the statistical association, or measure the associated variable are “linked to” from the Feature Graph.