i2b2 De-identification Dataset

该数据集是一项医学命名实体识别（NER）任务，旨在从去识别化的临床笔记中提取关于问题、测试和治疗的内容提及。它专注于提取临床概念，这对于医疗保健自然语言处理任务至关重要。该数据集属于标准的临床数据集，其任务是命名实体识别。

This dataset is a medical named entity recognition (NER) task that aims to extract mentions of problems, tests, and treatments from de-identified clinical notes. It focuses on extracting clinical concepts, which is critical for healthcare natural language processing (NLP) tasks. This is a standard clinical dataset whose designated task is named entity recognition.

搜集汇总

背景与挑战

背景概述

i2b2 De-identification Dataset现已转移到n2c2项目，包含去标识化的患者出院摘要，需通过DBMI Data Portal注册并提交DUA后访问。