English

Predicting Development of Chronic Obstructive Pulmonary Disease and its Risk Factor Analysis

Quantitative Methods 2023-02-08 v1 Machine Learning

Abstract

Chronic Obstructive Pulmonary Disease (COPD) is an irreversible airway obstruction with a high societal burden. Although smoking is known to be the biggest risk factor, additional components need to be considered. In this study, we aim to identify COPD risk factors by applying machine learning models that integrate sociodemographic, clinical, and genetic data to predict COPD development.

Cite

@article{arxiv.2302.03137,
  title  = {Predicting Development of Chronic Obstructive Pulmonary Disease and its Risk Factor Analysis},
  author = {Soojin Lee and Ingu Sean Lee and Samuel Kim},
  journal= {arXiv preprint arXiv:2302.03137},
  year   = {2023}
}

Comments

submitted to EMBC 2023

R2 v1 2026-06-28T08:33:34.200Z