Abstract: Various embodiments of the disclosure provide apparatuses, systems, and computer program products for predictive data labelling using a dual-model system. Embodiments provide various advantages in accuracy of predicted labels, for example in various contexts such as medical data analysis for difficult to diagnose diseases.

Abstract: There is a need for solutions that perform predictive natural language processing with improved efficiency and/or accuracy.

Abstract: An analytics platform and architecture is disclosed that improves the capture, extraction, and reporting of data required for certain measures, provides real-time data surveillance, dashboards, tracking lists, and alerts for specific, high-priority data, and offers dynamic, ad-hoc reporting capabilities. The platform includes a data extraction facility that gathers data from numerous sources, a data mapping facility that identifies and maps key data elements and links data over time, a data normalization facility to normalize the data and, optionally, de-identify the data, a flexible data warehouse for storing raw data or longitudinal data, an analytics facility for data mining, analytic model building, risk identification, benchmarking and tracking. The improved platform and architecture integrates social networking technology and analysis (SNA) on data to cluster data for more efficient, technically improved and focused processing.

Abstract: There is a need for solutions that perform predictive natural language processing with improved efficiency and/or accuracy.

Abstract: An analytics platform and architecture is disclosed that improves the capture, extraction, and reporting of data required for certain measures, provides real-time data surveillance, dashboards, tracking lists, and alerts for specific, high-priority data, and offers dynamic, ad-hoc reporting capabilities. The platform includes a data extraction facility that gathers data from numerous sources, a data mapping facility that identifies and maps key data elements and links data over time, a data normalization facility to normalize the data and, optionally, de-identify the data, a flexible data warehouse for storing raw data or longitudinal data, an analytics facility for data mining, analytic model building, risk identification, benchmarking and tracking. The improved platform and architecture integrates social networking technology and analysis (SNA) on data to cluster data for more efficient, technically improved and focused processing.

Abstract: Methods, systems, and apparatuses for comparing healthcare data are disclosed. Some embodiments of the method for comparing healthcare data may include receiving healthcare data for geographic regions. The healthcare data may include healthcare variables and clinical data. Some embodiments of the method may further include analyzing, with a processing device, one or more healthcare variables for geographic regions. In some embodiments of the method, analyzing the one or more healthcare variables may include assigning each geographic region to one of several clusters based on the one or more healthcare variables. Some embodiments of the method may further include analyzing, with a processing device, the clinical data for geographic regions. In some embodiments of the method, analyzing the clinical data may include determining a primary magnitude for each geographic region of a primary measure, determining a secondary magnitude for each geographic region of a secondary measure, and comparing them.