Assessing the similarity of surface linguistic features related to epilepsy across pediatric hospitals.

CONCLUSION: With a reasonably uniform epilepsy vocabulary and an NLP-based algorithm able to use this uniformity to classify epilepsy progress notes across different hospitals, we can pursue automated comparisons of patient conditions, treatments, and diagnoses across different healthcare settings. PMID: 24692393 [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