NATURAL LANGUAGE PROCESSING AND CODING OF NURSES' NOTES

这个子项目是利用由NIH/NCRR资助的中心拨款提供的资源的许多研究子项目之一。子项目和调查员(PI)可能从另一个NIH来源获得了主要资金，因此可能会出现在其他CRISE条目中。列出的机构是针对中心的，而不一定是针对调查员的机构。免费文本进度说明，由护士在患者住院期间撰写，包含大量有用的患者信息，包括诊断、症状药物和测试结果。然而，这些笔记通常是仓促写成的，既有医学术语的各种缩写和同义词，也有常见的单词。手工提取所有有用的信息，并将其表示为适合分析的标准化形式，将是一项极其繁琐的任务。该项目旨在开发一种从护士笔记中自动提取相关信息的方法，并从国家医学图书馆的统一医学语言系统(UMLS)为每个术语分配一个标准化代码。

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).