Normalizing clinical terms using learned edit distance patterns

Conclusions The novel method was found to perform much better than the MetaMap system and the cosine similarity based method in normalizing disease mentions in clinical text that did not exactly match in UMLS. The method is also general and can be used for normalizing clinical terms of other semantic types as well.
Source: Journal of the American Medical Informatics Association - Category: Information Technology Authors: Tags: Research and Applications Source Type: research