Application of a transparent artificial intelligence algorithm for US adults in the obese category of weight.

Journal: PloS one
PMID:

Abstract

OBJECTIVE AND AIMS: Identification of associations between the obese category of weight in the general US population will continue to advance our understanding of the condition and allow clinicians, providers, communities, families, and individuals make more informed decisions. This study aims to improve the prediction of the obese category of weight and investigate its relationships with factors, ultimately contributing to healthier lifestyle choices and timely management of obesity.

Authors

  • Alexander A Huang
    Department of Statistics and Data Science, Cornell University, Ithaca, New York, United States of America.
  • Samuel Y Huang
    Department of Statistics and Data Science, Cornell University, Ithaca, New York, United States of America.