This paper is in the following e-collection/theme issue:

Electronic Health Records (1053) Clinical Informatics (1022) Clinical Information and Decision Making (1407) eHealth Infrastructures (345) Secondary Use of Clinical Data for Research and Surveillance (367) Data Science (270) Advanced Data Analytics in eHealth (133) Natural Language Processing (692) Big Data (240) Ontologies, Classifications, and Coding (239)

Published on in Vol 9, No 12 (2021): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/32698, first published .
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

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

Authors of this article:

Youcheng Pan1 Author Orcid Image ;   Chenghao Wang1 Author Orcid Image ;   Baotian Hu1 Author Orcid Image ;   Yang Xiang2 Author Orcid Image ;   Xiaolong Wang1 Author Orcid Image ;   Qingcai Chen1, 2 Author Orcid Image ;   Junjie Chen1 Author Orcid Image ;   Jingcheng Du3 Author Orcid Image
Article Authors Cited by (6) Tweetations (2) Metrics

Youcheng Pan   1 , MEng ;   Chenghao Wang   1 , MSc ;   Baotian Hu   1 , PhD ;   Yang Xiang   2 , PhD ;   Xiaolong Wang   1 , PhD ;   Qingcai Chen   1, 2 , PhD ;   Junjie Chen   1 , PhD ;   Jingcheng Du   3 , PhD

1 Intelligent Computing Research Center, Harbin Institute of Technology, Shenzhen, China

2 Peng Cheng Laboratory, Shenzhen, China

3 University of Texas Health Science Center at Houston, Houston, TX, United States

Corresponding Author:

  • Baotian Hu, PhD
  • Intelligent Computing Research Center
  • Harbin Institute of Technology
  • No. 6, Pingshan 1st Road
  • Shenzhen, 518055
  • China
  • Phone: 86 136 9164 0856
  • Email: hubaotian@hit.edu.cn