Hospitals produce millions of patient records consisting of clinical annotations containing extensive usage of abbreviations. The data in these clinical annotations are an excelle...
Janet Rajan, Karen C. Davis, Pawel Matykiewicz, Wl...
The scarcity of manually labeled data for supervised machine learning methods presents a significant limitation on their ability to acquire knowledge. The use of kernels in Suppor...
Mahesh Joshi, Ted Pedersen, Richard Maclin, Sergue...
Background: Like text in other domains, biomedical documents contain a range of terms with more than one possible meaning. These ambiguities form a significant obstacle to the aut...
Mark Stevenson, Yikun Guo, Robert J. Gaizauskas, D...
The feasibility of extracting both explicit and implicit synonym references from a machine readable dictionary is investigated; the extracted synonyms, both symmetric and asymmetr...
Approximately 57 different types of clinical annotations construct a patient's medical record. The annotations include radiology reports, discharge summaries, and surgical an...
John Pestian, Lukasz Itert, Charlotte Anderson, Wl...