Reducing COPD Readmissions: A Causal Bayesian Network Model

Sujee Lee; Sijie Wang; Philip A. Bain; Christine Baker; Tammy Kundinger; Craig Sommers; Jingshan Li

RA-L 20188 citations

Reducing COPD Readmissions: A Causal Bayesian Network Model

Sujee Lee, Sijie Wang, Philip A. Bain, Christine Baker, Tammy Kundinger, Craig Sommers, Jingshan Li

Abstract

This letter introduces a causal Bayesian network model to study readmissions reduction for chronic obstructive pulmonary disease (COPD) patients. The model employs a Bayesian network learning method and adopts domain knowledge. Using this model, we analyze the impacts of critical variables on a patient's readmission risk by the manipulation of such variables. Through this analysis, effective intervention options to reduce readmission can be identified, which can provide a quantitative tool for designing personalized interventions to reduce COPD readmissions.

BibTeX

@inproceedings{ral2018_reducingcopdread,
  title = {Reducing COPD Readmissions: A Causal Bayesian Network Model},
  author = {Sujee Lee and Sijie Wang and Philip A. Bain and Christine Baker and Tammy Kundinger and Craig Sommers and Jingshan Li},
  booktitle = {RA-L 2018},
  year = {2018}
}