National Institutes of Health Stroke Scale (NIHSS) Annotations for the MIMIC-III Database

The National Institutes of Health Stroke Scale (NIHSS) is a 15-item neurologic examination stroke scale. It quantifies the physical manifestations of neurological deficits and provides crucial support for clinical decision making and early-stage emergency triage. NIHSS scores stored in the free-text of Electronic Health Records (EHRs) often lack standardization and the expression patterns are highly dependent on the habit of the clinicians. This can limit the potential for reusability of the data.

There is benefit in developing robust algorithms to extract NIHSS scores from the free-text of EHRs. We developed a dataset for NIHSS score identification, a task defined as the extraction of scale items and corresponding scores from discharge summaries. Discharge summaries of stroke cases in the Medical Information Mart for Intensive Care III (MIMIC-III) database were used to create an annotated NIHSS corpus.

Each discharge summary was manually annotated for the presence of NIHSS scores by two annotators with backgrounds in medical informatics. Annotations include all scale items (e.g. “4. Facial Palsy”), the corresponding score “measurement”, and their relation “has value”. The dataset is intended to support academic and industrial research in the field of medical natural language processing (NLP).

国家卫生研究院卒中量表（NIHSS）是一种包含15项神经学检查的卒中评分量表。该量表量化了神经功能缺损的物理表现，并为临床决策和早期急诊分级提供了至关重要的支持。存储在电子健康记录（EHR）自由文本中的NIHSS评分往往缺乏标准化，其表达模式高度依赖于临床医生的习惯。这可能会限制数据的可重用性。开发能够从EHR自由文本中提取NIHSS评分的稳健算法具有实际意义。我们开发了一个用于NIHSS评分识别的数据集，该任务被定义为从出院小结中提取量表条目及其对应评分。MIMIC-III数据库中卒中病例的出院小结被用于创建标注的NIHSS语料库。每位出院小结均由两名具有医学信息学背景的标注者手动标注是否存在NIHSS评分。标注包括所有量表条目（例如，“4.面瘫”）、相应的“评分测量”及其“具有价值”的关系。该数据集旨在支持医学自然语言处理（NLP）领域的学术和工业研究。