Joanne Enticott

According to our database, Joanne Enticott authored at least 6 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Comparison of machine learning and conventional logistic regression-based prediction models for gestational diabetes in an ethnically diverse population; the Monash GDM Machine learning model.

Yitayeh Belsti, Lisa Moran, Lan Du, Aya Mousa, Kushan De Silva, Joanne Enticott, Helena Teede

Int. J. Medical Informatics, November, 2023

2022

Predictors of clinician use of Australia's national health information exchange in the emergency Department: An analysis of log data.

Alexandra K. Mullins, Helen Skouteris, David Rankin, Heather Morris, Kostas Hatzikiriakidis, Joanne Enticott

Int. J. Medical Informatics, 2022

A Log Analysis Exploring the Predictors of Electronic Health Record Access by Clinicians for Consumers Aged ≥65 Who Present to the Emergency Department.

Alexandra K. Mullins, Helen Skouteris, Heather Morris, Joanne Enticott

Proceedings of the Challenges of Trustable AI and Added-Value on Health, 2022

2021

Use of My Health Record by Clinicians in the Emergency Department: An Analysis of Log Data.

Alexandra K. Mullins, Heather Morris, Joanne Enticott, Michael Ben-Meir, David Rankin, Kumar Mantripragada, Helen Skouteris

Frontiers Digit. Health, 2021

Clinical notes as prognostic markers of mortality associated with diabetes mellitus following critical care: A retrospective cohort analysis using machine learning and unstructured big data.

Kushan De Silva, Noel Mathews, Helena Teede, Andrew Forbes, Daniel Jönsson, Ryan T. Demmer, Joanne Enticott

Comput. Biol. Medicine, 2021

2020

Use and performance of machine learning models for type 2 diabetes prediction in community settings: A systematic review and meta-analysis.

Kushan De Silva, Wai Kit Lee, Andrew Forbes, Ryan T. Demmer, Christopher Barton, Joanne Enticott

Int. J. Medical Informatics, 2020