A study of data mining methods for identification undernutrition and overnutrition in obesity

TM Mulyono, F Natalia, S Sudirman - Proceedings of the 2019 3rd …, 2019 - dl.acm.org
Indonesia is currently experiencing the Double Burden Nutrition problem. This is a problem
when a significant proportion of the population is endangerd with the problem of …

Estimation of Obesity levels based on Decision trees

T Cui, Y Chen, J Wang, H Deng… - … Symposium on Artificial …, 2021 - ieeexplore.ieee.org
In recent decades, there has been increasing concern about obesity in adolescents and
adults. Obesity can cause many physical health problems and affect people's quality of life …

Utilizing the Data Mining Techniques for Obesity Prognosis Based on Eating and Lifestyle Routines of Adolescents and Adults

P Vineetha Sankar, K Sreekumar - Advanced Computing and Intelligent …, 2022 - Springer
Since 1980, obesity has increasingly become a global health issue—it is increasingly
prevalent among children with serious implications for their health and their later well-being …

Obesity prediction based on daily lifestyle habits and other factors using different machine learning algorithms

C Suresh, BV Kiranmayee, M Jahnavi… - Proceedings of Second …, 2022 - Springer
Obesity is examined to be one of the significant health snags. Obesity is a condition that
impairs both men and women of all ages. Obesity is nowadays a severe health issue that …

Diet & Exercise Classification using Machine Learning to Predict Obese Patient's Weight Loss

KA Pinto, NL Abdullah… - … Congress of Advanced …, 2021 - ieeexplore.ieee.org
Obesity-related diseases such as coronary heart disease, stroke, respiratory disorders, etc.
has steadily risen in the world over the last decades. Various studies related to obesity have …

Indication of Health Status Using Machine Learning Linear Regression and Random Forest

A Asif, M Nabeel, MJ Awan, M Ahsan… - 2021 International …, 2021 - ieeexplore.ieee.org
In today's modern world obesity has become a major problem and everyone wants to get fit.
Hence, to decide on a proper diet plan and health status we need BMI (Body Mass Index) to …

Obesity disease risk prediction using machine learning

RR Dutta, I Mukherjee, C Chakraborty - International Journal of Data …, 2024 - Springer
Obesity is a global issue that harms everyone's health, regardless of age or gender. An
excessive or abnormal amount of body fat is referred to as obesity. People who are obese …

Obesity related disease prediction from healthcare communities using machine learning

NC Pereira, J D'souza, P Rana… - 2019 10th International …, 2019 - ieeexplore.ieee.org
In addition to the rapid growth of Machine Learning in biomedical and healthcare
communities, the accurate analysis of medical data benefits early disease detection, patient …

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 …

Classification and features selection method for obesity level prediction

D Molina Estren, AK De la Hoz Manotas… - 2021 - repositorio.cuc.edu.co
Obesity has become one of the world's largest health issues, rich and poor countries, without
exception, have each year larger populations with this condition. Obesity and overweight are …