Inclusiveness in Food Data Sets: Development of a Food Composition Dataset for South Asian Recipes With Focus on Pakistan

MH Maqdoom, SA Najam, S Ali, S Fatima… - Journal of Nutrition …, 2023 - Elsevier
Background Accurate food composition data is crucial for promoting healthy eating, dietary
planning, research and development, food labeling, and public health policy. However, no …

Predicting risk of obesity and meal planning to reduce the obese in adulthood using artificial intelligence

R Kaur, R Kumar, M Gupta - Endocrine, 2022 - Springer
Background An unhealthy diet or excessive amount of food intake creates obesity issues in
human beings that further may cause several diseases such as Polycystic Ovary Syndrome …

Development of a Mobile Application Platform for Self‐Management of Obesity Using Artificial Intelligence Techniques

SM Sefa-Yeboah, K Osei Annor… - … of Telemedicine and …, 2021 - Wiley Online Library
Obesity is a major global health challenge and a risk factor for the leading causes of death,
including heart disease, stroke, diabetes, and several types of cancer. Attempts to manage …

Dietry Monitoring System Using Decision Tree to Control Human Obesity

MFM Baseri, AF Saad - International Journal of Artificial Intelligence, 2023 - lamintang.org
Nowadays, obesity is one of the dangerous diseases in the world. Lack of dietary monitoring
system will make it difficult for people with obesity to reduce their weight problems. The main …

Development of Decision Support System Platform for Daily Dietary Plan

S Kooptiwoot, B Javadi - Current Nutrition & Food Science, 2022 - ingentaconnect.com
Background: Solving health issues needs accurate and significant information regarding
food consumption. Recently, data analysis and communication have provided outstanding …

[PDF][PDF] DANES: Diet and nutrition expert system for meal management and nutrition counseling

MV Gupta, P Bhattacharjee, N Kotian - International Journal on Recent …, 2017 - core.ac.uk
“Your body is your temple” As people across the globe are becoming more health
conscious, eating more healthy food and avoiding junk food, a system that can measure …

A framework to estimate the nutritional value of food in real time using deep learning techniques

R Yunus, O Arif, H Afzal, MF Amjad, H Abbas… - IEEE …, 2018 - ieeexplore.ieee.org
There has been a rapid increase in dietary ailments during the last few decades, caused by
unhealthy food routine. Mobile-based dietary assessment systems that can record real-time …

Machine learning model for awareness of diet recommendation

AK Rout, A Sethy, NS Mouli - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
According to the World Health Organization, it is a serious issue because noncommunicable
diseases such as early heart disease, diabetes, and cancer are on the rise globally. Diets …

[PDF][PDF] Machine learning (ML) in diet planning for type-l

S Banerjee - Journal Healthcare Treatment Development, 2022 - researchgate.net
Diabetes is a chronic non-communicable disease that has become a significant public
health issue for decades globally. Diabetes can slovly destroy the human body from head to …

[PDF][PDF] Diet Recommendation System based on Different Machine Learners

M Shah, S Degadwala, D Vyas - 2022 - academia.edu
In today's culture, many people suffer from a range of ailments and illnesses. It's not always
simple to recommend a diet right away. The majority of individuals are frantically trying to …