39 citations · 72 across the 9 of their papers we have counts for
6 papers · 1 filter
Baichuan-M1: Pushing the Medical Capability of Large Language Models
Bingning Wang, Haizhou Zhao, Huozhi Zhou +39
The current generation of large language models (LLMs) is typically designed for broad, general-purpose applications, while domain-specific LLMs, especially in vertical fields like…
GENIE: Generative Note Information Extraction model for structuring EHR data
Huaiyuan Ying, Hongyi Yuan, Jinsen Lu +6
Electronic Health Records (EHRs) hold immense potential for advancing healthcare, offering rich, longitudinal data that combines structured information with valuable insights from…
CoRTEx: Contrastive Learning for Representing Terms via Explanations with Applications on Constructing Biomedical Knowledge Graphs
Huaiyuan Ying, Zhengyun Zhao, Yang Zhao +2
Objective: Biomedical Knowledge Graphs play a pivotal role in various biomedical research domains. Concurrently, term clustering emerges as a crucial step in constructing these kno…
BIOS: An Algorithmically Generated Biomedical Knowledge Graph
Sheng Yu, Zheng Yuan, Jun Xia +11
Biomedical knowledge graphs (BioMedKGs) are essential infrastructures for biomedical and healthcare big data and artificial intelligence (AI), facilitating natural language process…
PMC-Patients: A Large-scale Dataset of Patient Summaries and Relations for Benchmarking Retrieval-based Clinical Decision Support Systems
Zhengyun Zhao, Qiao Jin, Fangyuan Chen +2
Objective: Retrieval-based Clinical Decision Support (ReCDS) can aid clinical workflow by providing relevant literature and similar patients for a given patient. However, the devel…
CODER: Knowledge infused cross-lingual medical term embedding for term normalization
Zheng Yuan, Zhengyun Zhao, Haixia Sun +3
This paper proposes CODER: contrastive learning on knowledge graphs for cross-lingual medical term representation. CODER is designed for medical term normalization by providing clo…