TY - JOUR AU - Li, Zhiheng AU - Yang, Zhihao AU - Shen, Chen AU - Xu, Jun AU - Zhang, Yaoyun AU - Xu, Hua PY - 2019 DA - 2019/01/31 TI - Integrating shortest dependency path and sentence sequence into a deep learning framework for relation extraction in clinical text JO - BMC Medical Informatics and Decision Making SP - 22 VL - 19 IS - 1 AB - Extracting relations between important clinical entities is critical but very challenging for natural language processing (NLP) in the medical domain. Researchers have applied deep learning-based approaches to clinical relation extraction; but most of them consider sentence sequence only, without modeling syntactic structures. The aim of this study was to utilize a deep neural network to capture the syntactic features and further improve the performances of relation extraction in clinical notes. SN - 1472-6947 UR - https://doi.org/10.1186/s12911-019-0736-9 DO - 10.1186/s12911-019-0736-9 ID - Li2019 ER -