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Found 6 papers, 5 papers with code
Yet Another ICU Benchmark: A Flexible Multi-Center Framework for Clinical ML
Datasets and code are not always published, and cohort definitions, preprocessing pipelines, and training setups are difficult to reproduce.
Improving generalization to new environments and removing catastrophic forgetting in Reinforcement Learning by using an eco-system of agents
Adapting a Reinforcement Learning (RL) agent to an unseen environment is a difficult task due to typical over-fitting on the training environment.
Out-of-Distribution Detection for Medical Applications: Guidelines for Practical Evaluation
Detection of Out-of-Distribution (OOD) samples in real time is a crucial safety check for deployment of machine learning models in the medical field.
Integrating Expert ODEs into Neural ODEs: Pharmacology and Disease Progression
To close this gap, we propose the latent hybridisation model (LHM) that integrates a system of expert-designed ODEs with machine-learned Neural ODEs to fully describe the dynamics of the system and to link the expert and latent variables to observable quantities.
Hide-and-Seek Privacy Challenge
The clinical time-series setting poses a unique combination of challenges to data modeling and sharing.
Bayesian Modelling in Practice: Using Uncertainty to Improve Trustworthiness in Medical Applications
In this work we show how Bayesian modelling and the predictive uncertainty that it provides can be used to mitigate risk of misguided prediction and to detect out-of-domain examples in a medical setting.
