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pro vyhledávání: '"Zeng, Sihang"'
Autor:
Qi, Biqing, Zhang, Kaiyan, Tian, Kai, Li, Haoxiang, Chen, Zhang-Ren, Zeng, Sihang, Hua, Ermo, Jinfang, Hu, Zhou, Bowen
The rapid growth of biomedical knowledge has outpaced our ability to efficiently extract insights and generate novel hypotheses. Large language models (LLMs) have emerged as a promising tool to revolutionize knowledge interaction and potentially acce
Externí odkaz:
http://arxiv.org/abs/2407.08940
Autor:
Zhang, Kaiyan, Zeng, Sihang, Hua, Ermo, Ding, Ning, Chen, Zhang-Ren, Ma, Zhiyuan, Li, Haoxin, Cui, Ganqu, Qi, Biqing, Zhu, Xuekai, Lv, Xingtai, Jinfang, Hu, Liu, Zhiyuan, Zhou, Bowen
Large Language Models (LLMs) have demonstrated remarkable capabilities across various domains and are moving towards more specialized areas. Recent advanced proprietary models such as GPT-4 and Gemini have achieved significant advancements in biomedi
Externí odkaz:
http://arxiv.org/abs/2406.03949
Objective: Biomedical Knowledge Graphs play a pivotal role in various biomedical research domains. Concurrently, term clustering emerges as a crucial step in constructing these knowledge graphs, aiming to identify synonymous terms. Due to a lack of k
Externí odkaz:
http://arxiv.org/abs/2312.08036
Autor:
Qi, Biqing, Zhang, Kaiyan, Li, Haoxiang, Tian, Kai, Zeng, Sihang, Chen, Zhang-Ren, Zhou, Bowen
Significant scientific discoveries have driven the progress of human civilisation. The explosion of scientific literature and data has created information barriers across disciplines that have slowed the pace of scientific discovery. Large Language M
Externí odkaz:
http://arxiv.org/abs/2311.05965
Electronic health records (EHR) contain narrative notes that provide extensive details on the medical condition and management of patients. Natural language processing (NLP) of clinical notes can use observed frequencies of clinical terms as predicti
Externí odkaz:
http://arxiv.org/abs/2307.00266
Term clustering is important in biomedical knowledge graph construction. Using similarities between terms embedding is helpful for term clustering. State-of-the-art term embeddings leverage pretrained language models to encode terms, and use synonyms
Externí odkaz:
http://arxiv.org/abs/2204.00391
Autor:
Yu, Sheng, Yuan, Zheng, Xia, Jun, Luo, Shengxuan, Ying, Huaiyuan, Zeng, Sihang, Ren, Jingyi, Yuan, Hongyi, Zhao, Zhengyun, Lin, Yucong, Lu, Keming, Wang, Jing, Xie, Yutao, Shum, Heung-Yeung
Biomedical knowledge graphs (BioMedKGs) are essential infrastructures for biomedical and healthcare big data and artificial intelligence (AI), facilitating natural language processing, model development, and data exchange. For decades, these knowledg
Externí odkaz:
http://arxiv.org/abs/2203.09975
Autor:
Ying, Huaiyuan1 (AUTHOR), Zhao, Zhengyun1 (AUTHOR), Zhao, Yang2 (AUTHOR), Zeng, Sihang3 (AUTHOR), Yu, Sheng1 (AUTHOR) syu@tsinghua.edu.cn
Publikováno v:
Journal of the American Medical Informatics Association. Sep2024, Vol. 31 Issue 9, p1912-1920. 9p.
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