Accurate Prediction of Children's ADHD Severity Using Family Burden Information: A Neural Lasso Approach

Accurate Prediction of Children's ADHD Severity Using Family Burden Information: A Neural Lasso Approach

The deep lasso algorithm (dlasso) is introduced as a neural version of the statistical linear lasso algorithm that holds benefits from both methodologies: feature selection and automatic optimization of the parameters (including the regularization parameter). This last property makes dlasso particul...

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Bibliographic Details
Main Authors: Juan C. Laria, David Delgado-Gómez, Inmaculada Peñuelas-Calvo, Enrique Baca-García, Rosa E. Lillo
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-06-01
Series:Frontiers in Computational Neuroscience
Subjects:
deep learning
lasso
feature selection
interpretability
ADHD
Online Access:https://www.frontiersin.org/articles/10.3389/fncom.2021.674028/full

Internet

https://www.frontiersin.org/articles/10.3389/fncom.2021.674028/full

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