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
Article Authors Cited by (1) Tweetations (4) Metrics

Masuda Begum Sampa   1, 2 , PhD ;   Topu Biswas   2 , MS ;   Md Siddikur Rahman   3 , PhD ;   Nor Hidayati Binti Abdul Aziz   1 , PhD ;   Md Nazmul Hossain   4 , PhD ;   Nor Azlina Ab Aziz   1 , PhD

1 Center for Engineering Computational Intelligence, Faculty of Engineering and Technology, Multimedia University, Melaka, Malaysia

2 Department of Computer Science and Engineering, Faculty of Science, Engineering and Technology, University of Science and Technology Chittagong, Chattogram, Bangladesh

3 Department of Statistics, Faculty of Science, Begum Rokeya University, Rangpur, Bangladesh

4 Department of Marketing, Faculty of Business Studies, University of Dhaka, Dhaka, Bangladesh

Corresponding Author:

  • Nor Azlina Ab Aziz, PhD
  • Center for Engineering Computational Intelligence
  • Faculty of Engineering and Technology
  • Multimedia University
  • Jalan Ayer Keroh Lama, Bukit Beruang
  • Melaka, 75450
  • Malaysia
  • Phone: 60 132999042
  • Email: azlina.aziz@mmu.edu.my