3 papers
cs.LG2022
The Health Gym: Synthetic Health-Related Datasets for the Development of Reinforcement Learning Algorithms
Nicholas I-Hsien Kuo, Mark N. Polizzotto, Simon Finfer +6
In recent years, the machine learning research community has benefited tremendously from the availability of openly accessible benchmark datasets. Clinical data are usually not ope…
cs.LG2020
Predicting cardiovascular risk from national administrative databases using a combined survival analysis and deep learning approach
Sebastiano Barbieri, Suneela Mehta, Billy Wu +4
AIMS. This study compared the performance of deep learning extensions of survival analysis models with traditional Cox proportional hazards (CPH) models for deriving cardiovascular…
cs.LG2019
Benchmarking Deep Learning Architectures for Predicting Readmission to the ICU and Describing Patients-at-Risk
Sebastiano Barbieri, James Kemp, Oscar Perez-Concha +4
Objective: To compare different deep learning architectures for predicting the risk of readmission within 30 days of discharge from the intensive care unit (ICU). The interpretabil…