After-meal blood glucose level prediction data for type-2 prediabetic and diabetic patients

Published: 25 September 2025| Version 1 | DOI: 10.17632/yf9kpds2ny.1
Contributors:
Benzir Ahmed , A. K. Obidul Huq, Mohammed Eunus Ali, Mohammad Masud, Mahmuda Naznin

Description

This dataset includes data from five prediabetic and diabetic patients. Among them, four are diabetic, and one is pre-diabetic patients. There are 902 samples. For each data sample, there are 23 tabular features: six profile features, nine medication features, six meal features, one exercise feature (duration), one BG reading before taking a meal, and one target variable: the BG reading taken two hours after meal. It contains the meal image names, if the corresponding images are available for different investigation.

Files

Institutions

  • United International University

Categories

Diabetes, Forecasting Model, Blood Glucose Monitoring, Data Driven Approach

Licence