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

02/06/2023
by   Soojin Lee, et al.
0

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.

READ FULL TEXT
research
05/23/2020

Bayesian Integrative Analysis and Prediction with Application to Atherosclerosis Cardiovascular Disease

Cardiovascular diseases (CVD), including atherosclerosis CVD (ASCVD), ar...
research
06/17/2023

Predicting Alzheimers Disease Diagnosis Risk over Time with Survival Machine Learning on the ADNI Cohort

The rise of Alzheimers Disease worldwide has prompted a search for effic...
research
03/11/2020

A deep belief network-based method to identify proteomic risk markers for Alzheimer disease

While a large body of research has formally identified apolipoprotein E ...
research
05/19/2021

Using Machine Learning Techniques to Identify Key Risk Factors for Diabetes and Undiagnosed Diabetes

This paper reviews a wide selection of machine learning models built to ...
research
01/17/2023

From Risk Prediction to Risk Factors Interpretation. Comparison of Neural Networks and Classical Statistics for Dementia Prediction

It is proposed to investigate the onset of a disease D, based on several...
research
01/13/2022

A Method for Controlling Extrapolation when Visualizing and Optimizing the Prediction Profiles of Statistical and Machine Learning Models

We present a novel method for controlling extrapolation in the predictio...

Please sign up or login with your details

Forgot password? Click here to reset