Integrating biomedical research and electronic health records to create knowledge-based biologically meaningful machine-readable embeddings

oleh: Charlotte A. Nelson, Atul J. Butte, Sergio E. Baranzini

Format: Article
Diterbitkan: Nature Portfolio 2019-07-01

Deskripsi

The Scalable Precision Medicine Oriented Knowledge Engine (SPOKE) is a heterogeneous knowledge network that integrates information from 29 public databases. Here, Nelson et al. extend SPOKE to embed clinical data from electronic health records to create medically meaningful barcodes for each medical variable.