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Found 4 papers, 1 papers with code
Development and Validation of ML-DQA -- a Machine Learning Data Quality Assurance Framework for Healthcare
The approaches by which the machine learning and clinical research communities utilize real world data (RWD), including data captured in the electronic health record (EHR), vary dramatically.
Neural network based order parameter for phase transitions and its applications in high-entropy alloys
We propose that the Manhattan distance in the VAE latent space can serve as a generic order parameter for order-disorder phase transitions.
Variational Disentanglement for Rare Event Modeling
Combining the increasing availability and abundance of healthcare data and the current advances in machine learning methods have created renewed opportunities to improve clinical decision support systems.
"The Human Body is a Black Box": Supporting Clinical Decision-Making with Deep Learning
Our work underscores the limits of model interpretability as a solution to ensure transparency, accuracy, and accountability in practice.
