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Found 3 papers, 2 papers with code
Large Language Model Capabilities in Perioperative Risk Prediction and Prognostication
We achieve F1 scores of 0. 50 for ASA Physical Status Classification, 0. 81 for ICU admission, and 0. 86 for hospital mortality.
MedAlign: A Clinician-Generated Dataset for Instruction Following with Electronic Medical Records
The ability of large language models (LLMs) to follow natural language instructions with human-level fluency suggests many opportunities in healthcare to reduce administrative burden and improve quality of care.
Feature-weighted elastic net: using "features of features" for better prediction
In some supervised learning settings, the practitioner might have additional information on the features used for prediction.
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