This work is supported in part by the National Natural Science Foundation of China under Grant Nos. 61622213 , 61732009 , 61772552 , 61772557 , the 111 Project (No. B18059 ), the Hunan Provincial Science and Technology Program ( 2018WK4001 ).
机构署名:
本校为其他机构
院系归属:
计算机科学与技术学院
摘要:
International Classification of Diseases (ICD) code is an important label of electronic health record. The automatic ICD code assignment based on the narrative of clinical documents is an essential task which has drawn much attention recently. When Chinese clinical notes are the input corpus, the nature of Chinese brings some issues that need to be considered, such as the accuracy of word segmentation and the representation of single Chinese characters which contain semantics. Taking the lengthy text of patient notes and the representation of Chinese words into account, we present a multilayer...