EHRmonize: A Framework for Medical Concept Abstraction from Electronic Health Records using Large Language Models
Publication
, Preprint
Matos, J; Gallifant, J; Pei, J; Wong, AI
June 28, 2024
Duke Scholars
Publication Date
June 28, 2024
Citation
APA
Chicago
ICMJE
MLA
NLM
Matos, J., Gallifant, J., Pei, J., & Wong, A. I. (2024). EHRmonize: A Framework for Medical Concept Abstraction from Electronic
Health Records using Large Language Models.
Matos, João, Jack Gallifant, Jian Pei, and A Ian Wong. “EHRmonize: A Framework for Medical Concept Abstraction from Electronic
Health Records using Large Language Models,” June 28, 2024.
Matos J, Gallifant J, Pei J, Wong AI. EHRmonize: A Framework for Medical Concept Abstraction from Electronic
Health Records using Large Language Models. 2024.
Matos, João, et al. EHRmonize: A Framework for Medical Concept Abstraction from Electronic
Health Records using Large Language Models. 28 June 2024.
Matos J, Gallifant J, Pei J, Wong AI. EHRmonize: A Framework for Medical Concept Abstraction from Electronic
Health Records using Large Language Models. 2024.
Publication Date
June 28, 2024