This project focuses on providing VA clinical research with methods and instruments for syndrome surveillance, on improving detection and mitigation of health problems in deployed veterans, and more specifically on the detection of medically...
Textractor is based on the Apache Unstructured Information Management Architecture (UMIA) framework, and uses methods that are a hybrid between machine learning and pattern matching. Our earlier versions of information extraction applications...
In the context of the POET project led by John Hurdle, we are developing and evaluating methods to detect abbreviations and acronyms in clinical text, disambiguate them, and replace them with their long form. Publications: Kim, Y., Hurdle, J....
The structure of clinical documents, and more specifically their sections, have a strong importance when assessing the context of clinical information extracted from clinical documents. For example, a diagnosis of asthma extracted from a...