The advent of large, open access text databases has driven advances in state- of-the-art model performance in natural language processing (NLP). The relatively limited amount of clinical data availabl
The advent of large, open access text databases has driven advances in state- of-the-art model performance in natural language processing (NLP). The relatively limited amount of clinical data availabl
MIMIC-IV-Note dataset consists of 331,794 deidentified discharge summaries from 145,915 patients who were admitted to the hospital and emergency department at BIDMC.
The advent of large, open access text databases has driven advances in state- of-the-art model performance in natural language processing (NLP). The relatively limited amount of clinical data availabl
MIMIC-IV-Note数据集是由斯坦福大学从Beth Israel Deaconess Medical Center收集的331,794份去标识化出院总结中提取的,包含270,033对临床笔记和简短医院过程(BHC)摘要。该数据集专为BHC摘要任务设计,强调临床笔记与相应BHC之间的关系。创建此基准数据集对于复制研究结果和比较未来工作至关重要。数据集的应用领域是自动化或加速BHC笔记生成,解决