Use of a Cross-Sectional Survey in the Adult Population to Characterize Persons at High-Risk for Chronic Obstructive Pulmonary Disease.

Roy A PleasantsKhosrow HeidariJill A OharJames F DonohueNjira LugogoChelsea L RichardSarojina KanotraDavid M ManninoMonica KraftWinston LiaoCharlie Strange

Published in: Healthcare (Basel, Switzerland) (2019)

These data, representing nearly 18% of US adults, indicates those at high risk for COPD share many, but not all of the characteristics of persons diagnosed with the disease and demonstrates the value of the BRFSS as a tool to define lung health at a population level.

Keyphrases

chronic obstructive pulmonary disease
lung function
public health
healthcare
mental health
electronic health record
big data
health promotion
machine learning
risk assessment
data analysis
artificial intelligence