A Novel Ontology-guided Attribute Partitioning Ensemble Learning Model for Early Prediction of Cognitive Deficits using Quantitative Structural MRI in Very Preterm Infants. (arXiv:2202.04134v2 [cs.LG] UPDATED)

Structural magnetic resonance imaging studies have shown that brain
anatomical abnormalities are associated with cognitive deficits in preterm
infants. Brain maturation and geometric features can be used with machine
learning models for predicting later neurodevelopmental deficits. However,
traditional machine learning models would suffer from a large
feature-to-instance ratio (i.e., a large number of features but a small number
of instances/samples). Ensemble learning is a paradigm that strategically
generates and integrates a library of machine learning classifiers and has been
successfully …

arxiv cognitive ensemble learning lg ontology partitioning prediction