Subgraph augmented non-negative tensor factorization (SANTF) for modeling clinical narrative text
Subgraph augmented non-negative tensor factorization (SANTF) for modeling clinical narrative text
Abstract Objective Extracting medical knowledge from electronic medical records requires automated approaches to combat scalability limitations and selection biases. However, existing machine learning approaches are often regarded by clinicians as black boxes. Moreover, training data for these automated approaches at often sparsely annotated at best. The authors target unsupervised learning …