- Clinical Informatics
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.