HYDERABAD: Hyderabad-based Woxen University, in collaboration with US scientist Professor Manjeet Rege, has developed an AI-based model to predict obesity risk using machine learning techniques.
This groundbreaking research aims to improve early detection and prevention of obesity-related diseases and was published in Elsevier’s Decision Analytics Journal.
Tackling the growing obesity crisis
Obesity is a global health concern, caused by poor diet, low physical activity, and urban lifestyle. The risk of diseases such as diabetes, heart disease, and high blood pressure increases significantly.
Traditional obesity assessment relies on Body Mass Index (BMI), which does not fully capture the complexity of obesity, such as fat distribution, muscle mass, and genetic factors.
To overcome these limitations, a research team at Woxen University, including Dr. Shahid Mohammad Ghani, Dr. Hemachandran Khannan, and student Boba Baras Reddy, Dean of Software Engineering and Data Science at Saint Louis University We collaborated with Professor Manjeet Rege. Thomas, America.
Survey of investigated machine learning models
Their study explored the use of multiple machine learning models to improve obesity prediction.
The researchers used publicly available datasets covering the populations of Colombia, Peru, and Mexico.
The dataset includes factors such as diet, exercise habits, water and alcohol intake, sleep quality, and mental health. Their AI model applied a boosting technique that combines multiple machine learning techniques to make more accurate obesity predictions.
Hyderabad’s role in AI-driven healthcare
During his visit to Wokusen University, Hyderabad, Professor Rege took stock of the ongoing AI research at the Manjeet Rege Analytics Lab.
The lab focuses on explainable AI and machine learning applications in healthcare, positioning Hyderabad as a hub for cutting-edge AI research.
Professor Legge emphasized the importance of early detection of obesity. “When people understand their risk factors, they are more likely to make healthier choices about diet, exercise and lifestyle,” he said. “This AI model serves as a powerful tool for preventive healthcare.”
The researchers believe their findings will help develop better strategies for obesity prevention and management. They also suggest incorporating deep learning in future research to further improve accuracy.
