Title : Design and development of decision support system to recommend nutritious food for cardiovascular patients

Type of Material: Thesis
Title: Design and development of decision support system to recommend nutritious food for cardiovascular patients
Researcher: Mehta Nirav Pareshkumar
Guide: Dr. Hetal R Thaker
Department: Computer Science
Publisher: Atmiya University
Place: Rajkot
Year: 2024
Language: English
Subject: Computer Science
Computer Science Theory and Methods
Engineering and Technology
Computer Science and Information Technology
Engineering and Technology
Dissertation/Thesis Note: PhD; Computer Science, Atmiya University, Rajkot; 2024
Fulltext: Shodhganga

003IN-AhILN
0052026-10-08 17:38:27
008__261008t2024||||ii#||||g|m||||||||||eng||
035__|a(IN-AhILN)th_464057
040__|dIN-AhILN|aATMI_360005
041__|aeng
100__|eResearcher|aMehta Nirav Pareshkumar
110__|aComputer Science|0U-0967|dRajkot|bAtmiya University|ein
245__|aDesign and development of decision support system to recommend nutritious food for cardiovascular patients
260__|aRajkot|c2024|bAtmiya University
300__|aA4|dCD|c286
502__|bPhD|d2024|cComputer Science, Atmiya University, Rajkot
518__|oDate of Award|d2024
518__|d2021|oDate of Registration
518__|oDate of Completion|d2024
520__|aCardiovascular diseases (CVDs) are among the leading causes of mortality worldwide, and their prevalence is rapidly increasing in the Gujarat region of India. A major factor in managing cardiovascular health is adhering to a heart-healthy diet, which often presents challenges for patients in balancing nutritional needs with personal food preferences. To address this issue, this research introduces a *Nutrition-Based Recommendation System (NBRS)* aimed at providing personalized dietary guidance for individuals with heart-related problems. The NBRS leverages machine learning techniques to generate food recommendations that are not only nutritious but also aligned with individual tastes, daily calorie requirements, and cultural contexts, specifically focusing on the dietary habits of Gujarat. The foundation of this research lies in a thorough analysis of both primary and secondary data sources. Primary data was collected using a detailed questionnaire distributed to individuals with cardiovascular
650__|aComputer Science and Information Technology|2UGC
650__|aEngineering and Technology|2AIU
653__|aComputer Science
653__|aComputer Science Theory and Methods
653__|aEngineering and Technology
700__|aDr. Hetal R Thaker|eGuide
856__|uhttp://shodhganga.inflibnet.ac.in/handle/10603/660484|yShodhganga
905__|afromsg

User Feedback Comes Under This section.