Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/14452, first published .
Development of a Deep Learning Model for Dynamic Forecasting of Blood Glucose Level for Type 2 Diabetes Mellitus: Secondary Analysis of a Randomized Controlled Trial

Development of a Deep Learning Model for Dynamic Forecasting of Blood Glucose Level for Type 2 Diabetes Mellitus: Secondary Analysis of a Randomized Controlled Trial

Development of a Deep Learning Model for Dynamic Forecasting of Blood Glucose Level for Type 2 Diabetes Mellitus: Secondary Analysis of a Randomized Controlled Trial

Syed Hasib Akhter Faruqui 1, MS;  Yan Du 2, RN, MPH, PhD;  Rajitha Meka 1, MIE;  Adel Alaeddini 1, PhD;  Chengdong Li 2, PhD;  Sara Shirinkam 3, PhD;  Jing Wang 2, RN, MPH, PhD

1 Department of Mechanical Engineering, University of Texas at San Antonio , San Antonio, TX, US

2 Center on Smart and Connected Health Technologies, University of Texas Health Science Center at San Antonio , San Antonio, TX, US

3 Department of Mathematics and Statistics, University of the Incarnate Word , San Antonio, TX, US

Corresponding Author:

  • Jing Wang, RN, MPH, PhD
  • Center on Smart and Connected Health Technologies
  • University of Texas Health Science Center at San Antonio
  • 7703 Floyd Curl Drive
  • San Antonio, TX
  • US
  • Phone: 1 210 450 8561
  • Email: wangj1@uthscsa.edu