A comparison of multivariate and univariate time series approaches to modelling and forecasting emergency department demand in Western Australia. - Patrick Aboagye-Sarfo; Qun Mai; Frank M. Sanfilippo; David B. Preen; Louise M. Stewart; Daniel M. Fatovich (J. Biomed. Informatics, 2015)

Improving patient-provider communication about chronic pain: development and feasibility testing of a shared decision-making tool. - Nananda F. Col; Stephen Hull; Vicky Springmann; Long Ngo; Ernie Merritt; Susan Gold; Michael Sprintz; Noel Genova; Noah Nesin; Brenda Tierman; Frank M. Sanfilippo; Richard Entel; et al. (BMC Medical Informatics Decis. Mak., 2020)

Explainable artificial intelligence for pharmacovigilance: What features are important when predicting adverse outcomes? - Isaac Ronald Ward; Ling Wang 005; Juan Lu; Mohammed Bennamoun; Girish Dwivedi; Frank M. Sanfilippo (Comput. Methods Programs Biomed., 2021)

Imputation of missing data with class imbalance using conditional generative adversarial networks. - Saqib Ejaz Awan; Mohammed Bennamoun; Ferdous Sohel; Frank M. Sanfilippo; Girish Dwivedi (Neurocomputing, 2021)

Performance of multilabel machine learning models and risk stratification schemas for predicting stroke and bleeding risk in patients with non-valvular atrial fibrillation. - Juan Lu; Rebecca Hutchens; Joseph Hung; Mohammed Bennamoun; Brendan McQuillan; Tom Briffa; Ferdous Sohel; Kevin Murray 005; Jonathon Stewart; Benjamin J. W. Chow; Frank M. Sanfilippo; Girish Dwivedi (Comput. Biol. Medicine, 2022)

A reinforcement learning-based approach for imputing missing data. - Saqib Ejaz Awan; Mohammed Bennamoun; Ferdous Sohel; Frank M. Sanfilippo; Girish Dwivedi (Neural Comput. Appl., 2022)

Analysis and Evaluation of Explainable Artificial Intelligence on Suicide Risk Assessment. - Hao Tang; Aref Miri Rekavandi; Dharjinder Rooprai; Girish Dwivedi; Frank M. Sanfilippo; Farid Boussaïd; Mohammed Bennamoun (CoRR, 2023)

Multitask Deep Learning for Accurate Risk Stratification and Prediction of Next Steps for Coronary CT Angiography Patients. - Juan Lu; Mohammed Bennamoun; Jonathon Stewart; Jason Kamran Eshraghian; Yanbin Liu; Benjamin J. W. Chow; Frank M. Sanfilippo; Girish Dwivedi (CoRR, 2023)

Inflating 2D convolution weights for efficient generation of 3D medical images. - Yanbin Liu; Girish Dwivedi; Farid Boussaïd; Frank M. Sanfilippo; Makoto Yamada; Mohammed Bennamoun (Comput. Methods Programs Biomed., 2023)

Deep learning model to predict exercise stress test results: Optimizing the diagnostic test selection strategy and reduce wastage in suspected coronary artery disease patients. - Juan Lu; Jonathon Stewart; Mohammed Bennamoun; Adrian Goudie; Jason Eshraghian; Abdul Ihdayhid; Frank M. Sanfilippo; Gary R. Small; Benjamin J. W. Chow; Girish Dwivedi (Comput. Methods Programs Biomed., 2023)