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Found 4 papers, 0 papers with code
SDOH-NLI: a Dataset for Inferring Social Determinants of Health from Clinical Notes
We evaluate both "off-the-shelf" entailment models as well as models fine-tuned on our data, and highlight the ways in which our dataset appears more challenging than commonly used NLI datasets.
Instability in clinical risk stratification models using deep learning
While it has been well known in the ML community that deep learning models suffer from instability, the consequences for healthcare deployments are under characterised.
Machine learning for dynamically predicting the onset of renal replacement therapy in chronic kidney disease patients using claims data
In this work, we present a machine learning model that dynamically identifies CKD patients at risk of requiring RRT up to one year in advance using only claims data.
Boosting the interpretability of clinical risk scores with intervention predictions
We propose a joint model of intervention policy and adverse event risk as a means to explicitly communicate the model's assumptions about future interventions.
