4 citations · 7 across the 2 of their papers we have counts for
9 papers · 1 filter
Enriching Medcial Terminology Knowledge Bases via Pre-trained Language Model and Graph Convolutional Network
Jiaying Zhang, Zhixing Zhang, Huanhuan Zhang +3
Enriching existing medical terminology knowledge bases (KBs) is an important and never-ending work for clinical research because new terminology alias may be continually added and…
NE-LP: Normalized Entropy and Loss Prediction based Sampling for Active Learning in Chinese Word Segmentation on EHRs
Tingting Cai, Zhiyuan Ma, Hong Zheng +1
Electronic Health Records (EHRs) in hospital information systems contain patients' diagnosis and treatments, so EHRs are essential to clinical data mining. Of all the tasks in the…
Fine-tuning BERT for Joint Entity and Relation Extraction in Chinese Medical Text
Kui Xue, Yangming Zhou, Zhiyuan Ma +3
Entity and relation extraction is the necessary step in structuring medical text. However, the feature extraction ability of the bidirectional long short term memory network in the…
CBOWRA: A Representation Learning Approach for Medication Anomaly Detection
Liang Zhao, Zhiyuan Ma, Yangming Zhou +3
Electronic health record is an important source for clinical researches and applications, and errors inevitably occur in the data, which could lead to severe damages to both patien…
Question Answering based Clinical Text Structuring Using Pre-trained Language Model
Jiahui Qiu, Yangming Zhou, Zhiyuan Ma +3
Clinical text structuring is a critical and fundamental task for clinical research. Traditional methods such as taskspecific end-to-end models and pipeline models usually suffer fr…
Fast and Accurate Recognition of Chinese Clinical Named Entities with Residual Dilated Convolutions
Jiahui Qiu, Qi Wang, Yangming Zhou +2
Clinical Named Entity Recognition (CNER) aims to identify and classify clinical terms such as diseases, symptoms, treatments, exams, and body parts in electronic health records, wh…