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

mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1428) Artificial Intelligence (1421) Mobile Health (mhealth) (2982) Machine Learning (1501) Apps, Mobile, Wearables for Diabetes (306) Glucose Tracking and Self-Monitoring of Blood Glucose (166) Sensors for Glucose Monitoring and Diabetes Management (34)
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 (48) Tweetations (1) Metrics

Journals

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  4. Owais M, Arsalan M, Mahmood T, Kang J, Park K. Automated Diagnosis of Various Gastrointestinal Lesions Using a Deep Learning–Based Classification and Retrieval Framework With a Large Endoscopic Database: Model Development and Validation. Journal of Medical Internet Research 2020;22(11):e18563 View
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Books/Policy Documents

  1. Malhotra S, Chhikara R. Intelligent Healthcare. View
  2. Li S, Wang J. Diabetes Digital Health and Telehealth. View