Lately I've been hearing a lot about common data models when it comes to SOA. As organizations attempt to figure out the data in the context of SOA they are driven many times to the notion of a ...

PURPOSEThe explosion of big data and artificial intelligence has rapidly increased the need for integrated, homogenized, and harmonized health data. Many common data models (CDMs) and standard ...

To develop an extension of the OMOP Common Data Model and Standardized Vocabularies to support the comprehensive representation of cancer conditions, treatments, and disease abstractions required for ...

Data models are used to represent real-world entities, but often have limitations. Avoid common data modeling mistakes for data integrity.

A common data model would address the data organization gap for chip developers, EDA tool developers, IP providers and researchers by first supporting the high interest EDA areas, design data and ...

The essential data attributes reflected in EDM represent common requirements and standardized definitions for widely shared data attributes. Physical data model. The final layer is physical and ...

In this webinar, we’ll explore how the Truveta Language Model (TLM)—a multi-modal AI model trained on EHR data—unlocks ...

A novel approach from the Allen Institute for AI enables data to be removed from an artificial intelligence model even after it has already been used for training.