Year: 2025
Type: article
Abstract: : Using machine learning (ML) techniques, this study examines the prediction of calories burnt based on various physiological and activity-related parameters. The study employs classification and regression algorithms to forecast calorie expenditure by analysing datasets containing attributes such as age, weight, heart rate, and exercise duration. The results highlight key influencing factors and contribute to a deeper understanding of how machine learning can enhance predictive modelling in health and fitness research.
Author: Abu Rayyan
Language: English
Subfield: Health Information Management
Field: Health Professions
Domain: Health Sciences
Open Access status: diamond
OpenAlex ID: W4409922113