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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM53886
Volume:
9 |
11 |
Nov 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Diabetes management requires precise calculation of insulin doses, which is highly dependent on the type of food consumed, portion sizes, and patient-specific parameters such as weight, age, and pre-meal blood glucose levels. In India, diverse dietary habits and mixed meals with variable carbohydrate content present a unique challenge for accurate insulin dosing. Meal2Dose is a web-based system developed to provide personalized insulin guidance for Indian meals. The system allows patients to select multiple food items through a cart-style interface, dynamically calculates insulin doses using nutritional data and patient-specific parameters, and maintains comprehensive records of meal history, insulin doses, and glucose readings. By integrating a curated Indian food database, intelligent dose computation, and analytics for both patients and healthcare providers, Meal2Dose reduces dosing errors, improves glycemic control, and facilitates evidence- based decision-making. Initial testing with 50 patients demonstrated a 92% dose accuracy compared to clinical calculations and improved patient adherence.
KEYWORDS
Publication Date
11/18/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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The authors declare no conflict of interest related to this research work.
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