This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. Free text progress notes, written up by nurses during a patient's hospital stay, contain a wealth of useful patient information, including diagnoses, symptoms medications, and test results. However, the notes are usually hastily written, containing all sorts of abbreviations and synonyms for medical terms as well as common words. Extracting all of the useful information by hand, and representing it in a standardized form suitable for analysis, would be an extremely tedious task. This project aims to develop a method to automatically extract the relevant pieces of information from nurses' notes, and assign to each of the terms a standardized code from the National Library of Medicine's Unified Medical Language System (UMLS).
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