[PDF][PDF] A Study on Machine Learning Based Nutritional Recommendations for Individuals with Diabetes

DPP Venkatesh Kondaveti, GVS Raju - ijarasem.com
Diabetes is a serious metabolic condition that can have a significant impact on the entire
body. These days, diabetes has turned into a typical sickness to humanity from youthful to …

[PDF][PDF] Intelligent nutrition diet recommender system for diabetic's patients

N Tabassum, A Rehman, M Hamid… - … Automation & Soft …, 2021 - researchgate.net
Diabetes is one of the ever-increasing menace crippling millions of people worldwide. It is
an independent risk factor for many cardiovascular diseases including medium and small …

Optimizing nutrition using machine learning algorithms-a comparative analysis

A Khan, S Deshpande… - … Conference on Nascent …, 2019 - ieeexplore.ieee.org
Nutrition is an essential support of human body development. Poor nourishment can result
in reduced immunity, increased vulnerability to various diseases, weakened physical and …

[PDF][PDF] Vitamin Deficiency and Food Recommendation System Using Machine Learning

MNN Lakshmi, MJ Reddy, KH Krishna, SS Reddy - academia.edu
People are not paying attention to the quality of food they eat in our fast-paced and hectic
world. They frequently ignore their eating routines and behaviours. Fast-food consumption is …

Diabetes Classification and Diet Recommendation

R Thakkar, B Ostwal, S Gandhi… - … Peer-Reviewed E …, 2023 - vidhyayanaejournal.org
The rising prevalence of diabetes has become a critical subject in healthcare development.
Type 2 diabetes, which was once considered a disease of the wealthy, is now affecting …

[PDF][PDF] DIET SUGGESTION AND DISEASE PREDICTION USING MACHINE LEARNING

KE Narayana, K Jayashree, R Keerthana, KS Harshitha - 2022 - ijrar.org
In today's modern-world, human beings all over the globe are getting extra inquisitive about
their fitness and life-style. But simply avoiding junk meals and doing an workout is not …

Impact of Diet and Nutritional Factors in Controlling Type 2 Diabetes Through Machine Learning

E Sophiya, H Vidyasekaran - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
Diabetes mellitus poses a significant challenge globally, necessitating an urgent need for
effective solutions that deviate from the conventional route of medication. It is one of the …

Diabetes risk prediction and sugar intake management

S Tiwari, VK Mishra, R Chandra… - Artificial Intelligence and …, 2024 - taylorfrancis.com
A group of diseases that impact how blood sugar (glucose) is being utilized by the human
body is referred to as diabetes mellitus. Type 1 and type 2 diabetes are forms of chronic …

NUTRIFY: A Meal Planner App for Diabetics

SC Ambat, JRR Cale, CG Castillo, OM De Leon… - technoaretepublication.org
The Philippines has a high rate of diabetes cases that is sometimes caused by bad eating
habits and poor lifestyle. A good eating practice is to have three meals in a day and two …

Study of Nutrition-Based Recommender System for Diabetes and Cardiovascular Patients Based on Various Machine Learning Techniques: A Systematic Review

N Mehta, H Thaker - … Technology and Computing: Proceedings of AICTC …, 2023 - Springer
Nowadays, nutrition-based food is so essential for humans to maintain their good health.
There is much research work that has taken place in India to resolve the problem …