Figure - PMC

Skip to main content

An official website of the United States government

Here's how you know

Here's how you know

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.

View full-text article in PMC

. 2021 Dec 4;9(12):1833. doi: 10.3390/biomedicines9121833

Search in PMC
Search in PubMed
View in NLM Catalog
Add to search

© 2021 by the authors.

Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).

PMC Copyright notice

BMI, lnc-IL7R, PM_2.5, PM₁₀, and SO₂ are highly specific predictors of COPD-E severity and disease progression in New Taipei City. (A) Predictor screening chart showing the contribution and ranking of each variable in predicting COPD—E severity. Contour profile (upper left), surface profile (upper right), and predictor profiler (lower panel) plots for (B) longitude, latitude, (C) PM_2.5, PM₁₀, lnc-IL7R, (D) SO₂, and BMI based on the Gaussian process model of %LAA_-950insp-based COPD-E severity. Fit used Gaussian correlation function. Nugget parameter was set to avoid singular variance matrix.