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

Apps, Mobile, Wearables for Diabetes (288) Machine Learning (1383) Innovations and Technology for Healthy Eating Education (400) Artificial Intelligence (1194) Decision Support for Health Professionals (1136)

Published on in Vol 8 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/49113, first published .
A Machine Learning Web App to Predict Diabetic Blood Glucose Based on a Basic Noninvasive Health Checkup, Sociodemographic Characteristics, and Dietary Information: Case Study

A Machine Learning Web App to Predict Diabetic Blood Glucose Based on a Basic Noninvasive Health Checkup, Sociodemographic Characteristics, and Dietary Information: Case Study

A Machine Learning Web App to Predict Diabetic Blood Glucose Based on a Basic Noninvasive Health Checkup, Sociodemographic Characteristics, and Dietary Information: Case Study

Authors of this article:

Masuda Begum Sampa1, 2 Author Orcid Image ;   Topu Biswas2 Author Orcid Image ;   Md Siddikur Rahman3 Author Orcid Image ;   Nor Hidayati Binti Abdul Aziz1 Author Orcid Image ;   Md Nazmul Hossain4 Author Orcid Image ;   Nor Azlina Ab Aziz1 Author Orcid Image
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