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cs.LG2025
Towards symbolic regression for interpretable clinical decision scores
Guilherme Seidyo Imai Aldeia, Joseph D. Romano, Fabricio Olivetti de Franca +2
Medical decision-making makes frequent use of algorithms that combine risk equations with rules, providing clear and standardized treatment pathways. Symbolic regression (SR) tradi…
cs.LG2025
Iterative Learning of Computable Phenotypes for Treatment Resistant Hypertension using Large Language Models
Guilherme Seidyo Imai Aldeia, Daniel S. Herman, William G. La Cava
Large language models (LLMs) have demonstrated remarkable capabilities for medical question answering and programming, but their potential for generating interpretable computable p…