Supervised embedding of textual predictors with applications in clinical diagnostics for pediatric cardiology.

CONCLUSIONS: As a solution, we present a supervised Laplacian Eigenmap method to embed textual predictors into a low-dimensional Euclidean space. This method allows many existing machine learning predictors to effectively and efficiently capture the potential of textual predictors, especially those based on short texts. PMID: 24076750 [PubMed - as supplied by publisher]
Source: Journal of the American Medical Informatics Association - Category: Information Technology Authors: Tags: J Am Med Inform Assoc Source Type: research