Healthcare Natural Language Processing.- Corpus Construction for Named-Entity and Entity Relations for Electronic Medical Records of Cardiovascular Disease.- Hybrid Granularity-based medical event extraction in Chinese electronic medical records.- Infusing Dependency Syntax Information into a Transformer Model for Document-Level Relation Extraction from Biomedical Literature.- A Review of Biomedical Event Trigger Word Detection.- BG-INT: An Entity Alignment Interaction Model Based on BERT and GCN.- An Semantic Similarity Matching Method for Chinese Medical Question Text.- A Biomedical Named Entity Recognition Framework with Multi-Granularity Prompt Tuning.- Healthcare Data Mining and Applications.- Automatic Extraction of Genomic Variants for Locating Precision Oncology Clinical Trials.- Identification of sepsis subphenotypes based on bi-directional long short-term memory Auto-Encoder using real-time laboratory data collected from intensive care units.- Machine Learning for Multimodal Electronic Health Records-based Research: Challenges and Perspectives.- An End-to-End Knowledge Graph Based Question Answering Approach for COVID-19.- Discovering Combination Patterns of Traditional Chinese Medicine for the Treatment of Gouty Arthritis with Renal Dysfunction.- Automatic Classification of Nursing Adverse Events Using a Hybrid Neural Network Model.- Node research on the involvement of China’s carbon tax policy in the context of COVID-19.

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