3 papers
cs.AI2026
LLMs as Post-hoc Auditors of Physiological Plausibility in Symbolic Regression: A Clinician-Evaluated Case Study
Jorge López-Varela, J. Ignacio Hidalgo, José-Manuel Muñoz +6
Genetic Programming and its variants, such as grammatical evolution, are widely used in Symbolic Regression to derive mathematical expressions from multivariate data. In addition t…
cs.LG2023
Learning Difference Equations with Structured Grammatical Evolution for Postprandial Glycaemia Prediction
Daniel Parra, David Joedicke, J. Manuel Velasco +2
People with diabetes must carefully monitor their blood glucose levels, especially after eating. Blood glucose regulation requires a proper combination of food intake and insulin b…
cs.LG2023
Patterns Detection in Glucose Time Series by Domain Transformations and Deep Learning
J. Alvarado, J. Manuel Velasco, F. Chávez +2
People with diabetes have to manage their blood glucose level to keep it within an appropriate range. Predicting whether future glucose values will be outside the healthy threshold…