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A BERT-Based Generation Model to Transform Medical Texts to SQL Queries for Electronic Medical Records: Model Development and Validation

A BERT-Based Generation Model to Transform Medical Texts to SQL Queries for Electronic Medical Records: Model Development and Validation

Wang et al [23] constructed the first large-scale text-to-SQL generation dataset, MIMICSQL, in the medical domain based on the widely used Medical Information Mart for Intensive Care (MIMIC III) dataset [24]. They also proposed a Seq2 Seq-based model, Translate-Edit Model for Question-to-SQL (TREQS), to directly generate the SQL query for a given medical question by using the dynamic and temporal attention mechanism and controlled copying technique.

Youcheng Pan, Chenghao Wang, Baotian Hu, Yang Xiang, Xiaolong Wang, Qingcai Chen, Junjie Chen, Jingcheng Du

JMIR Med Inform 2021;9(12):e32698