A novel support vector classifier for longitudinal high‐dimensional data and its application to neuroimaging data

DOI10.1002/sam.10141OpenAlexW2098800913WikidataQ30859701 ScholiaQ30859701MaRDI QIDQ4969814

F. DuBois Bowman, Shuo Chen

Publication date: 14 October 2020

Published in: Statistical Analysis and Data Mining: The ASA Data Science Journal (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc4189187

zbMATH Keywords

predictionfMRIAlzheimer's diseasePETsupport vector classifierlongitudinal high-dimensional data

Mathematics Subject Classification ID

Statistics (62-XX) Computer science (68-XX)

Related Items (1)

Regularization method for predicting an ordinal response using longitudinal high-dimensional genomic data

Cites Work

• Learning to decode cognitive states from brain images
• Wavelet-based procedures for proteomic mass spectrometry data processing
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