Comprehend Medical is a stateless and Health Insurance Portability and
Accountability Act (HIPAA) eligible Named Entity Recognition (NER) and
Relationship Extraction (RE) service launched under Amazon Web Services (AWS)
trained using state-of-the-art deep learning models. Contrary to many existing
open source tools, Comprehend Medical is scalable and does not require steep
learning curve, dependencies, pipeline configurations, or installations.
Currently, Comprehend Medical performs NER in five medical categories: Anatomy,
Medical Condition, Medications, Protected Health Information (PHI) and
Treatment, Test and Procedure (TTP). Additionally, the service provides
relationship extraction for the detected entities as well as contextual
information such as negation and temporality in the form of traits. Comprehend
Medical provides two Application Programming Interfaces (API): 1) the NERe API
which returns all the extracted named entities, their traits and the
relationships between them and 2) the PHId API which returns just the protected
health information contained in the text. Furthermore, Comprehend Medical is
accessible through AWS Console, Java and Python Software Development Kit (SDK),
making it easier for non-developers and developers to use.

介绍了一种基于深度学习模型的医学实体识别和关系提取服务 ——Comprehend Medical，它不需要复杂的配置和安装，支持身份验证和数据保护，并提供多种编程接口，便于用户使用。