Machine Learning-Driven Early Prediction and Prevention of Obesity and Overweight

Year : 2025 | Volume : 14 | Issue : 02 | Page : 31 40
    By

    Vikash Kumar,

  • Anushri Kulkarni,

  • Vaishnavi Pagote,

  • Vanshika Mungelwar,

  1. Professor, Department of E&TC, Smt. Kashibai Navale College of Engineering, Vadgaon SKNCOE, SPPU, Pune, Maharashtra, India
  2. Principal, Department of E&TC, Smt. Kashibai Navale College of Engineering, Vadgaon SKNCOE, SPPU, Pune, Maharashtra, India
  3. Researcher, Department of E&TC, Smt. Kashibai Navale College of Engineering, Vadgaon SKNCOE, SPPU, Pune, Maharashtra, India
  4. Researcher, Department of E&TC, Smt. Kashibai Navale College of Engineering, Vadgaon SKNCOE, SPPU, Pune, Maharashtra, India

Abstract

Obesity has become a global health concern, with its prevalence reaching alarming levels in recent years. By classifying obesity-level, healthcare professionals can assess an individual’s risk and develop appropriate treatment and prevention strategies. Healthcare professionals can customize interventions and create personalized treatment plans based on individual needs. This paper delivers a system provides an overview of obesity, highlighting the importance of accurate and standardized categorization for effective management and treatment strategies. Various classification systems have been proposed, primarily relying on body mass index (BMI), which relates weight to height. However, since BMI doesn’t consider differences in body composition, its limitations have prompted the use of other measurements like waist circumference (WC), waist-to-hip ratio (WHR), and body fat percentage to provide a more accurate assessment of health and body weight. Obesity is associated with a wide range of health problems and chronic diseases, such as heart disease, diabetes, certain types of cancer, and musculoskeletal disorders. This paper outlines a cutting-edge system aimed at developing an automated obesity detection system utilizing machine learning techniques.

Keywords: Obesity, Machine Learning, BMI, WC, WHR

[This article belongs to Research and Reviews : A Journal of Medical Science and Technology ]

How to cite this article:
Vikash Kumar, Anushri Kulkarni, Vaishnavi Pagote, Vanshika Mungelwar. Machine Learning-Driven Early Prediction and Prevention of Obesity and Overweight. Research and Reviews : A Journal of Medical Science and Technology. 2025; 14(02):31-40.
How to cite this URL:
Vikash Kumar, Anushri Kulkarni, Vaishnavi Pagote, Vanshika Mungelwar. Machine Learning-Driven Early Prediction and Prevention of Obesity and Overweight. Research and Reviews : A Journal of Medical Science and Technology. 2025; 14(02):31-40. Available from: https://journals.stmjournals.com/rrjomst/article=2025/view=208744


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Regular Issue Subscription Review Article
Volume 14
Issue 02
Received 17/07/2024
Accepted 29/03/2025
Published 25/04/2025
Publication Time 282 Days
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