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

• URL: http://arxiv.org/abs/2302.03137v1
• Date: Mon, 6 Feb 2023 21:50:34 GMT
• Title: Predicting Development of Chronic Obstructive Pulmonary Disease and its Risk Factor Analysis
• Authors: Soojin Lee, Ingu Sean Lee, Samuel Kim
• Abstract summary: Chronic Obstructive Pulmonary Disease (COPD) is an irreversible airway obstruction with a high societal burden. We aim to identify COPD risk factors by applying machine learning models that integrate sociodemographic, clinical, and genetic data to predict COPD development.
• Score: 0.9146620606615891
• License: http://creativecommons.org/licenses/by/4.0/
• 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.

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