20 citations · 35 across the 12 of their papers we have counts for
12 papers
The Cardiac Analytics and Innovation (CardiacAI) Data Repository: An Australian data resource for translational cardiovascular research
Victoria Blake, Louisa Jorm, Jennifer Yu +3
In Australia, cardiovascular diseases (CVD) are managed in a complex and fragmented healthcare system across multiple providers. A data repository that links data sources, and enab…
Predicting adverse outcomes following catheter ablation treatment for atrial fibrillation
Juan C. Quiroz, David Brieger, Louisa Jorm +3
Objective: To develop prognostic survival models for predicting adverse outcomes after catheter ablation treatment for non-valvular atrial fibrillation (AF). Methods: We used a lin…
TreatmentEstimatoR: a Dashboard for Estimating Treatment Effects from Observational Health Data
Collin Sakal, Hon Hwang, Juan C Quiroz +1
Observational health data can be leveraged to measure the real-world use and potential benefits or risks of existing medical interventions. However, lack of programming proficiency…
Assessing the effectiveness of empirical calibration under different bias scenarios
Hon Hwang, Juan C Quiroz, Blanca Gallego
Background: Estimations of causal effects from observational data are subject to various sources of bias. One method of adjusting for the residual biases in the estimation of a tre…
Continuous Treatment Recommendation with Deep Survival Dose Response Function
Jie Zhu, Blanca Gallego
We propose a general formulation for continuous treatment recommendation problems in settings with clinical survival data, which we call the Deep Survival Dose Response Function (D…
Incorporating Uncertainty in Learning to Defer Algorithms for Safe Computer-Aided Diagnosis
Jessie Liu, Blanca Gallego, Sebastiano Barbieri
Deep neural networks are increasingly being used for computer-aided diagnosis, but erroneous diagnoses can be extremely costly for patients. We propose a learning to defer with unc…
Comparing Broadband ISP Performance using Big Data from M-Lab
Xiaohong Deng, Yun Feng, Thanchanok Sutjarittham +3
Comparing ISPs on broadband speed is challenging, since measurements can vary due to subscriber attributes such as operation system and test conditions such as access capacity, ser…
Dynamic prediction of time to event with survival curves
Jie Zhu, Blanca Gallego
With the ever-growing complexity of primary health care system, proactive patient failure management is an effective way to enhancing the availability of health care resource. One…
Causal inference for observational longitudinal studies using deep survival models
Jie Zhu, Blanca Gallego
Causal inference for observational longitudinal studies often requires the accurate estimation of treatment effects on time-to-event outcomes in the presence of time-dependent pati…
Targeted Estimation of Heterogeneous Treatment Effect in Observational Survival Analysis
Jie Zhu, Blanca Gallego
The aim of clinical effectiveness research using repositories of electronic health records is to identify what health interventions 'work best' in real-world settings. Since there…
Evaluating the Impact of Using GRASP Framework on Clinicians and Healthcare Professionals Decisions in Selecting Clinical Predictive Tools
Mohamed Khalifa, Farah Magrabi, Blanca Gallego
Background. When selecting predictive tools, clinicians and healthcare professionals are challenged with an overwhelming number of tools, most of which have never been evaluated fo…
Developing an Evidence-Based Framework for Grading and Assessment of Predictive Tools for Clinical Decision Support
Mohamed Khalifa, Farah Magrabi, Blanca Gallego
Background: Clinical predictive tools quantify contributions of relevant patient characteristics to derive likelihood of diseases or predict clinical outcomes. When selecting a pre…