Michael Aswell

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PURPOSE A large share of the information in electronic medical records (EMRs) consists of free-text compositions. From a computational point-of-view, the continuing prevalence of free-text entry is a major hindrance when the goal is to increase automation in EMRs. However, the efforts in developing standards for the structured representation of medical(More)
There is a need for an efficient and effective means of categorizing Emergency Department Chief Complaints. We improved the performance of our previously described learning normalizer algorithm by broadening its training set to include data from multiple hospitals. We also achieved a statistically significant additional improvement by incorporating a(More)
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