Clinical Concept Embeddings Learned from Massive Sources of Multimodal Medical Data

4 code implementations • 4 Apr 2018 • Andrew L. Beam, Benjamin Kompa, Allen Schmaltz, Inbar Fried, Griffin Weber, Nathan P. Palmer, Xu Shi, Tianxi Cai, Isaac S. Kohane

Word embeddings are a popular approach to unsupervised learning of word relationships that are widely used in natural language processing.

Word Embeddings