Exploring the Impact of Physical Activity Metrics on Calorie Consumption: A Machine Learning Approach Combined with SHAP Analysis

Abstract Rising global obesity necessitates precise, personalized management of energy balance. While machine learning effectively handles complex physiological data, traditional “black-box” models lack the transparency needed to understand how specific behaviors impact metabolic outcomes. This opac...

Descripció completa

Dades bibliogràfiques

Autors principals:	Song Lin, Ying Zhang
Format:	Artigo
Idioma:	Inglês
Publicat:	Nature Portfolio 2026-02-01
Col·lecció:	Scientific Reports
Matèries:	Calorie consumption prediction Activity metrics Machine learning SHAP analysis Feature importance Health management
Accés en línia:	https://doi.org/10.1038/s41598-026-40830-x
Etiquetes:	Afegir etiqueta Sense etiquetes, Sigues el primer a etiquetar aquest registre!