Using Bayesian Methods to Predict Self-Discharge in the Sydney Children's Hospital Network
Abstract
A talk on using Bayesian Logistic Regression on exhaust data from the hospital system to predict Discharge Against Medical Advice (DAMA), given at the Health Data Analytics conference in Brisbane. This work was published in Predictors of Discharge Against Medical Advice in a Tertiary Paediatric Hospital and followed up by Discharge against medical advice in culturally and linguistically diverse Australian children.
Date
Oct 6, 2017 —
Location
Brisbane
Brisbane, QLD
Published as Predictors of Discharge Against Medical Advice in a Tertiary Paediatric Hospital, followed up by Discharge against medical advice in culturally and linguistically diverse Australian children.
Dr. Gordon McDonald
Informatics Team Lead
My research interests include data science for public good, quantum physics and psychology.