📝 Data Structures and Algorithms Notes with Python By Eliana Lopez This repository contains a deep dive on Data Structures and Algorithms theory and concepts along with Python based examples of many ...

Intelligent data abstraction helps improve breast cancer care This precision medicine approach, driven by granular, real-world evidence, is critical for reshaping clinical guidelines and driving more ...

Intermountain Health is deploying Layer Health’s AI engine for clinical data abstraction across several of its patient registries. The health system’s venture capital arm is also making a ...

Theories of tangible computing delve into the structure of physical interfaces, aiming to bridge the gap between digital data and physical entities. Data sculpture studies highlight that ‘embodiment ...

For example, the concept of a “tree” implies an entity whose structure is defined by a nested hierarchy, whether this is a physical object whose parts are arranged in space (such as an oak tree in a ...

A Model for Thinking about Ethics in Data Management Prior to the writing of the first edition of “Data Ethics” back in 2017, we had developed a framework in Castlebridge that enables a critical ...

While sites can share coding experience in data abstraction between similar data storage structure, variable coding schemes pose challenges for direct translation between sites.

Data abstraction is a methodology that enables us to isolate how a compound data object is used from the details of how it is constructed from more primitive data objects. The basic idea of data ...

We look at how to gain structure from unstructured data, via AI/ML analytics to create new records, selecting object data via SQL and storing unstructured files in NoSQL formats.