Zhou, Yujia

Improving large language models for clinical named entity recognition via prompt engineering

Hu, Y., Chen, Q., Du, J., Peng, X., Keloth, V. K., Zuo, X., Zhou, Y., Li, Z., Jiang, X., Lu, Z., et al. (2024) · Journal of the American Medical Informatics Association

Topic ModelingBiomedical Text Mining and Ontologies

Cited by 314

Are synthetic clinical notes useful for real natural language processing tasks: A case study on clinical entity recognition

Li, J., Zhou, Y., Jiang, X., Natarajan, K., Pakhomov, S. V., Liu, H., & Xu, H. (2021) · Journal of the American Medical Informatics Association

Biomedical Text Mining and OntologiesTopic Modeling

Cited by 53

Social determinants of health extraction from clinical notes across institutions using large language models

Keloth, V. K., Selek, S., Chen, Q., Gilman, C., Fu, S., Dang, Y., Chen, X., Hu, X., Zhou, Y., He, H., et al. (2025) · npj Digital Medicine

Machine Learning in HealthcareBiomedical Text Mining and Ontologies

Cited by 24

FedFSA: Hybrid and federated framework for functional status ascertainment across institutions

Fu, S., Jia, H., Vassilaki, M., Keloth, V. K., Dang, Y., Zhou, Y., Garg, M., Petersen, R. C., St Sauver, J., Moon, S., et al. (2024) · Journal of Biomedical Informatics

Machine Learning in HealthcareBiomedical Text Mining and Ontologies

Cited by 17

Are Long-LLMs A Necessity For Long-Context Tasks?

Qian, H., Liu, Z., Zhang, P., Mao, K., Zhou, Y., Chen, X., & Dou, Z. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 3