Multimodal Data Matters: Language Model Pre-Training Over Structured and Unstructured Electronic Health Records-Reference-Cited by-同舟云学术

Multimodal Data Matters: Language Model Pre-Training Over Structured and Unstructured Electronic Health Records

Author:

Liu Sicen¹^ORCID,Wang Xiaolong¹,Hou Yongshuai²^ORCID,Li Ge³^ORCID,Wang Hui⁴,Xu Hui⁴,Xiang Yang²^ORCID,Tang Buzhou¹^ORCID

Affiliation:

1. Department of Computer Science, Harbin Institute of Technology (Shenzhen), Shenzhen, China

2. Peng Cheng Laboratory, Shenzhen, China

3. Peking University, Peng Cheng Laboratory, Shenzhen, China

4. Gennlife(Beijing) Technology Co Ltd, Beijing, China

Funder

National Key R&D Program of China

National Natural Science Foundation of China

Natural Science Foundation of Guangdong Province

Major Key Project of PCL

Strategic Emerging Industry Development Special Fund of Shenzhen

Ministry of Industry and Information Technology & National Health Commission

Peng Cheng Laboratory

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Health Information Management,Electrical and Electronic Engineering,Computer Science Applications,Health Informatics

Link

Reference72 articles.

Cited by 15 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

4. FlexCare: Leveraging Cross-Task Synergy for Flexible Multimodal Healthcare Prediction;Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2024-08-24

5. Transformer models in biomedicine;BMC Medical Informatics and Decision Making;2024-07-29