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Found 6 papers, 1 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.
Large Language Models Encode Clinical Knowledge
To resolve this we introduce instruction prompt tuning, a parameter-efficient approach for aligning LLMs to new domains using a few exemplars.
Ranked #4 on
Multiple Choice Question Answering (MCQA)
on MedMCQA
(Dev Set (Acc-%) metric)
Modelling EHR timeseries by restricting feature interaction
Time series data are prevalent in electronic health records, mostly in the form of physiological parameters such as vital signs and lab tests.
Improved Hierarchical Patient Classification with Language Model Pretraining over Clinical Notes
Clinical notes in electronic health records contain highly heterogeneous writing styles, including non-standard terminology or abbreviations.
Explaining an increase in predicted risk for clinical alerts
We consider explanations in a temporal setting where a stateful dynamical model produces a sequence of risk estimates given an input at each time step.
Scalable and accurate deep learning for electronic health records
Predictive modeling with electronic health record (EHR) data is anticipated to drive personalized medicine and improve healthcare quality.
