JMIR Med Inform 2021 Apr 21;9(4):e23587. Epub 2021 Apr 21.
Key Laboratory of Network Oriented Intelligent Computation, Harbin Institute of Technology, Shenzhen, China.
Background: Family history information, including information on family members, side of the family of family members, living status of family members, and observations of family members, plays an important role in disease diagnosis and treatment. Family member information extraction aims to extract family history information from semistructured/unstructured text in electronic health records (EHRs), which is a challenging task regarding named entity recognition (NER) and relation extraction (RE), where named entities refer to family members, living status, and observations, and relations refer to relations between family members and living status, and relations between family members and observations.
Objective: This study aimed to introduce the system we developed for the 2019 n2c2/OHNLP track on family history extraction, which can jointly extract entities and relations about family history information from clinical text. Read More