Predicting acute asthma events in Aotearoa New Zealand using a machine-learning approach

Asthma is one of the most common long-term conditions in New Zealand, affecting 1 in 5 children and 1 in 8 adults. Deaths from asthma and other lung diseases remains the third leading cause of death in New Zealand. Asthma events such as asthma attacks is the primary cause of many of these deaths. Unfortunately, at present, these events are difficult to predict. This work aims to use artificial intelligence to explore healthcare data from national health datasets – such as data on medication use patterns and hospitalisation – to better predict asthma events before they occur.

Project related media:  https://hrc.govt.nz/news-and-events/health-delivery-research-recipients-announced

Brad Raos NF
Amy-Chan

Principal Investigator:  Dr Amy Chan

PI Contact email:  a.chan@auckland.ac.nz

Collaborators: Dr Kebede Beyene, Mr Andrew Tomlin (University of Auckland), Dr Holly Tibble (University of Edinburgh), Dr Faarhan Mirza (AUT)

Status: Ongoing

Funding: Health Research Council (HRC), University of Auckland