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Journal Articles
- 2024
[j6]Sanjeeva Ranasinha, Joanne Enticott
, Cheryce L. Harrison, Shakila Thangaratinam, Rui Wang, Helena J. Teede:
External validation of risk prediction model for gestational diabetes: Individual participant data meta-analysis of randomized trials. Int. J. Medical Informatics 190: 105533 (2024)- 2023
- [j5]Yitayeh Belsti, Lisa Moran, Lan Du, Aya Mousa, Kushan De Silva, Joanne Enticott, Helena Teede:
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. Int. J. Medical Informatics 179: 105228 (2023) - 2022
- [j4]Alexandra K. Mullins, Helen Skouteris, David Rankin, Heather Morris, Kostas Hatzikiriakidis, Joanne Enticott:
Predictors of clinician use of Australia's national health information exchange in the emergency Department: An analysis of log data. Int. J. Medical Informatics 161: 104725 (2022) - 2021
- [j3]Kushan De Silva, Noel Mathews, Helena Teede, Andrew Forbes, Daniel Jönsson, Ryan T. Demmer, Joanne Enticott:
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. Comput. Biol. Medicine 132: 104305 (2021) - [j2]Alexandra K. Mullins, Heather Morris, Joanne Enticott, Michael Ben-Meir, David Rankin, Kumar Mantripragada, Helen Skouteris:
Use of My Health Record by Clinicians in the Emergency Department: An Analysis of Log Data. Frontiers Digit. Health 3: 725300 (2021) - 2020
- [j1]Kushan De Silva, Wai Kit Lee, Andrew Forbes, Ryan T. Demmer, Christopher Barton, Joanne Enticott:
Use and performance of machine learning models for type 2 diabetes prediction in community settings: A systematic review and meta-analysis. Int. J. Medical Informatics 143: 104268 (2020)
Conference and Workshop Papers
- 2022
- [c1]Alexandra K. Mullins, Helen Skouteris, Heather Morris, Joanne Enticott:
A Log Analysis Exploring the Predictors of Electronic Health Record Access by Clinicians for Consumers Aged ≥65 Who Present to the Emergency Department. MIE 2022: 577-578
Coauthor Index
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