Fuzzy Logic Driven Nutrition-based Recommendation System for Gujarati Cardiac Patients: Integrating Cultural Preferences and Patient Feedback

Year : 2024 | Volume :15 | Issue : 01 | Page : 59-83
By

    Nirav Mehta

  1. Assistant Professor, Department of Computer Science, Shri V. J. Modha College, Porbandar, Gujarat, India

Abstract

This article focuses on developing a comprehensive dataset for accurate dietary recommendations tailored to Gujarati cardiac patients’ needs. The dataset comprises nutritional details of over 90 Gujarati food and fruit products, meticulously collected through primary and secondary data collection methods. Each food item’s nutritive values, including proteins, carbohydrates, fats, fiber, and calories, are meticulously recorded to facilitate precise dietary recommendations. The dataset integrates cultural preferences and seasonal variations in food availability to ensure relevance and adherence to dietary guidelines. Additionally, the research incorporates feedback from cardiac patients, who rate food preferences on a scale of 1 to 10, enhancing the dataset’s accuracy and relevance. By leveraging this rich dataset, the research aims to develop an effective recommendation system that provides personalized and culturally sensitive dietary guidance to improve the cardiac health management of Gujarati patients.

Keywords: Nutrition-based recommendation system, fuzzy logic, Gujarati cuisine, cardiac patients, dietary management, cultural preferences, personalized recommendations, nutritive values, dataset, feedback integration

[This article belongs to Journal of Computer Technology & Applications(jocta)]

How to cite this article: Nirav Mehta.Fuzzy Logic Driven Nutrition-based Recommendation System for Gujarati Cardiac Patients: Integrating Cultural Preferences and Patient Feedback.Journal of Computer Technology & Applications.2024; 15(01):59-83.
How to cite this URL: Nirav Mehta , Fuzzy Logic Driven Nutrition-based Recommendation System for Gujarati Cardiac Patients: Integrating Cultural Preferences and Patient Feedback jocta 2024 {cited 2024 Apr 18};15:59-83. Available from: https://journals.stmjournals.com/jocta/article=2024/view=143635


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Regular Issue Subscription Review Article
Volume 15
Issue 01
Received March 13, 2024
Accepted April 2, 2024
Published April 18, 2024
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