Faculty Lead(s)

Meliha Yetisgen


Clinical Informatics

Project Summary

Accessibility to patient data available in EMR systems is critical to improve health care process. However most patient information is represented in free-text form and textual information is difficult for automated approaches to reliably access. A representation step is required to convert the unstructured information available in free-text into a structured format so that the automated approaches can work on. In this project, we focus on extraction of medical entities (e.g. medical problem, treatments, tests), temporal phrases, and their relations.