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Med-BERT: pretrained contextualized embeddings on large-scale structured electronic health records for disease prediction

Medicine and Health

Med-BERT: pretrained contextualized embeddings on large-scale structured electronic health records for disease prediction

L. Rasmy, Y. Xiang, et al.

Discover how Med-BERT, an innovative contextualized embedding model tailored for electronic health records, revolutionizes disease prediction accuracy. Developed by Laila Rasmy, Yang Xiang, Ziqian Xie, Cui Tao, and Degui Zhi, this research showcases significant performance enhancements across clinical databases, paving the way for cost-efficient AI in healthcare.

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