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

mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1301) Artificial Intelligence (1186) Mobile Health (mhealth) (2748) Machine Learning (1370) Apps, Mobile, Wearables for Diabetes (288) Glucose Tracking and Self-Monitoring of Blood Glucose (150) Sensors for Glucose Monitoring and Diabetes Management (29)
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

Authors of this article:

Syed Hasib Akhter Faruqui1 Author Orcid Image ;   Yan Du2 Author Orcid Image ;   Rajitha Meka1 Author Orcid Image ;   Adel Alaeddini1 Author Orcid Image ;   Chengdong Li2 Author Orcid Image ;   Sara Shirinkam3 Author Orcid Image ;   Jing Wang2 Author Orcid Image
Article Authors Cited by (44) Tweetations (1) Metrics

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, United States

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

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

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
  • United States
  • Phone: 1 210 450 8561
  • Email: wangj1@uthscsa.edu