Joanne Enticott

14 papers A* 1A 1Journal 11Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	External validation of GDM risk prediction models using a machine learning reciprocal model-exchange framework. Comput. Biol. Medicine Mark Germaine, Yitayeh Belsti, Amy O'Higgins, Brendan Egan, Helena Teede, Graham Healy, Joanne Enticott
2026	A*	`conf`	Next Generation Active Learning: Mixture of LLMs in the Loop. AAAI Yuanyuan Qi, Xiaohao Yang, Jueqing Lu, Guoxiang Guo, Joanne Enticott, Gang Liu, Lan Du
2026	J	`jnl`	Next Generation Active Learning: Mixture of LLMs in the Loop. CoRR Yuanyuan Qi, Xiaohao Yang, Jueqing Lu, Guoxiang Guo, Joanne Enticott, Gang Liu, Lan Du
2025	A	`conf`	Multi-Label Bayesian Active Learning with Inter-Label Relationships. UAI Yuanyuan Qi, Jueqing Lu, Xiaohao Yang, Joanne Enticott, Lan Du
2025	J	`jnl`	Temporal validation of machine learning models for pre-eclampsia prediction using routinely collected maternal characteristics: A validation study. Comput. Biol. Medicine Sofonyas Abebaw Tiruneh, Daniel Lorber Rolnik, Helena Teede, Joanne Enticott
2024	J	`jnl`	External validation of risk prediction model for gestational diabetes: Individual participant data meta-analysis of randomized trials. Int. J. Medical Informatics Sanjeeva Ranasinha, Joanne Enticott, Cheryce L. Harrison, Shakila Thangaratinam, Rui Wang, Helena J. Teede
2024	J	`jnl`	Multi-Label Bayesian Active Learning with Inter-Label Relationships. CoRR Yuanyuan Qi, Jueqing Lu, Xiaohao Yang, Joanne Enticott, Lan Du
2024	J	`jnl`	Prediction of pre-eclampsia with machine learning approaches: Leveraging important information from routinely collected data. Int. J. Medical Informatics Sofonyas Abebaw Tiruneh, Daniel Lorber Rolnik, Helena J. Teede, Joanne Enticott
2023	J	`jnl`	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 Yitayeh Belsti, Lisa Moran, Lan Du, Aya Mousa, Kushan De Silva, Joanne Enticott, Helena Teede
2022	—	`conf`	A Log Analysis Exploring the Predictors of Electronic Health Record Access by Clinicians for Consumers Aged ≥65 Who Present to the Emergency Department. MIE Alexandra K. Mullins, Helen Skouteris, Heather Morris, Joanne Enticott
2022	J	`jnl`	Predictors of clinician use of Australia's national health information exchange in the emergency Department: An analysis of log data. Int. J. Medical Informatics Alexandra K. Mullins, Helen Skouteris, David Rankin, Heather Morris, Kostas Hatzikiriakidis, Joanne Enticott
2021	J	`jnl`	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 Kushan De Silva, Noel Mathews, Helena Teede, Andrew Forbes, Daniel Jönsson, Ryan T. Demmer, Joanne Enticott
2021	J	`jnl`	Use of My Health Record by Clinicians in the Emergency Department: An Analysis of Log Data. Frontiers Digit. Health Alexandra K. Mullins, Heather Morris, Joanne Enticott, Michael Ben-Meir, David Rankin, Kumar Mantripragada, Helen Skouteris
2020	J	`jnl`	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 Kushan De Silva, Wai Kit Lee, Andrew Forbes, Ryan T. Demmer, Christopher Barton, Joanne Enticott