4 papers
A foundation-model approach to pediatric headache classification from rs-fMRI
Guilherme S. Imai Aldeia, Clara Moon, Julie Shulman +5
Headache is the most common neurological disorder in children and substantially affects quality of life. We investigated whether resting-state functional MRI (rs-fMRI) can support…
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…
Current Challenges of Symbolic Regression: Optimization, Selection, Model Simplification, and Benchmarking
Guilherme Seidyo Imai Aldeia
Symbolic Regression (SR) is a regression method that aims to discover mathematical expressions that describe the relationship between variables, and it is often implemented through…
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…