Summary In general, data normalization establishes a foundation for achieving semantic interoperability and creates an infrastructure that enables data sharing and aggregation.

The Indiana Health Information Exchange, formed in 2004 and serving 13 million-plus patients, is using the Diameter Health platform for a pilot project focused on clinical data normalization and ...

Although data standardization is not a glamorous topic, understanding data encoding and normalization is an absolutely essential skill when working with neural networks.

Stateful workloads on Kubernetes are pervasive and the most advanced users are seeing massive productivity gains with standardization as a key driver.

Quantum-Si to Join Leading Experts from DNAnexus, Olink, & Northwestern in Upcoming GenomeWeb Webinar on Proteomics Data Integration & Standardization ...