Predicting emergency department events due to asthma : results from the BRFSS Asthma Call Back Survey 2006-2009
The identification of asthma patients most at risk of experiencing an emergency department event is an important step toward lessening public health burdens in the United States. In this report, the CDC BRFSS Asthma Call Back Survey Data from 2006 to 2009 is explored for potential factors for a pred...
Main Author: | Chancellor, Courtney Marie |
---|---|
Format: | Others |
Language: | English |
Published: |
2012
|
Subjects: | |
Online Access: | http://hdl.handle.net/2152/ETD-UT-2012-05-5551 |
Similar Items
-
Applying Classification and Regression Trees to manage financial risk
by: Martin, Stephen Fredrick
Published: (2012) -
Mood Disorder Detection in Adolescents by Classification Trees, Random Forests and XGBoost in Presence of Missing Data
by: Elzbieta Turska, et al.
Published: (2021-09-01) -
Classification Trees for Ordinal Responses in R: The rpartScore Package
by: Gabriele Soffritti, et al.
Published: (2012-04-01) -
Use of regression trees to predict overweight trucks from historical weigh-in-motion data
by: Mariana Bosso, et al.
Published: (2020-12-01) -
Asthma: Effect of Genotype on Response to Therapy in the Emergency Department
by: Henderson, Sean, et al.
Published: (2007-08-01)