AI-based prediction model to detect obesity risk developed

Researchers at Hyderabad’s Woxsen University, including Dr Shahid Mohammad Ganie, Dr Hemachandran Kannan and student Bobba Bharath Reddy, collaborated with US scientist Prof. Manjeet Rege to create an AI-based model for predicting obesity risk. Their study, published in Decision Analytics Journal, explores how machine learning can analyse lifestyle data to assess obesity risk effectively.
The research used ensemble learning techniques, combining multiple algorithms to improve prediction accuracy. The dataset included diverse populations from Colombia, Peru and Mexico, analysing factors like diet, physical activity, mental health and sleep habits.
The team highlighted the limitations of BMI, noting it overlooks variables like fat distribution and muscle mass, which are critical for precise obesity risk assessment.
Prof. Rege, a global AI expert, emphasised early detection as a motivator for healthier choices, enabling timely interventions.
The study also pointed out how urbanisation and processed food consumption drive obesity-related illnesses like diabetes and heart disease.
The researchers aim to help healthcare providers design targeted interventions and propose future studies using deep learning for enhanced predictions.
This project reflects Woxsen University’s dedication to solving real-world problems through global collaborations and technological innovation.