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

mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1399) Artificial Intelligence (1371) Mobile Health (mhealth) (2939) Machine Learning (1465) Apps, Mobile, Wearables for Diabetes (298) Glucose Tracking and Self-Monitoring of Blood Glucose (162) Sensors for Glucose Monitoring and Diabetes Management (33)
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 (46) Tweetations (1) Metrics
All Time | Last Month | Last Six Months | Last Year
There are currently no tweets available for this article within the specified range.