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04/18/2023
The Cardiac Analytics and Innovation (CardiacAI) Data Repository: An Australian data resource for translational cardiovascular research
In Australia, cardiovascular diseases (CVD) are managed in a complex and...
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11/22/2022
Predicting adverse outcomes following catheter ablation treatment for atrial fibrillation
Objective: To develop prognostic survival models for predicting adverse ...
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03/20/2022
TreatmentEstimatoR: a Dashboard for Estimating Treatment Effects from Observational Health Data
Observational health data can be leveraged to measure the real-world use...
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11/08/2021
Assessing the effectiveness of empirical calibration under different bias scenarios
Background: Estimations of causal effects from observational data are su...
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08/17/2021
Incorporating Uncertainty in Learning to Defer Algorithms for Safe Computer-Aided Diagnosis
In this study we propose the Learning to Defer with Uncertainty (LDU) al...
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01/26/2021
Dynamic prediction of time to event with survival curves
With the ever-growing complexity of primary health care system, proactiv...
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01/26/2021
CDSM – Casual Inference using Deep Bayesian Dynamic Survival Models
A smart healthcare system that supports clinicians for risk-calibrated t...
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01/24/2021
Comparing Broadband ISP Performance using Big Data from M-Lab
Comparing ISPs on broadband speed is challenging, since measurements can...
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10/20/2019
Targeted Estimation of Heterogeneous Treatment Effect in Observational Survival Analysis
The aim of clinical effectiveness research using repositories of electro...
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07/25/2019
Validating and Updating GRASP: A New Evidence-Based Framework for Grading and Assessment of Clinical Predictive Tools
Background: When selecting predictive tools, for implementation in clini...
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07/25/2019
Evaluating the Impact of Using GRASP Framework on Clinicians and Healthcare Professionals Decisions in Selecting Clinical Predictive Tools
Background. When selecting predictive tools, clinicians and healthcare p...
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06/19/2019
