A comparison of machine learning classifiers for pediatric epilepsy using resting-state functional MRI latency data

Authors

Ryan D Nguyen, University of Texas Health at Houston
Matthew D Smyth, Washington University School of Medicine in St. Louis
Liang Zhu, University of Texas Health at Houston
Ludovic P Pao, McGovern Medical School at UTHealth
Shannon K Swisher, University of Texas Health at Houston
Emmett H Kennady, University of Texas Health at Houston
Anish Mitra, Washington University School of Medicine in St. Louis
Rajan P Patel, University of Texas Health at Houston
Jeremy E Lankford, University of Texas Health at Houston
Gretchen Von Allmen, University of Texas Health at Houston
Michael W Watkins, University of Texas Health at Houston
Michael E Funke, University of Texas Health at Houston
Manish N Shah, University of Texas Health at Houston

Journal

Biomedical Reports

Publication Date

9-1-2021

Volume

15

Issue

3

First Page

77

Document Type

Open Access Publication

DOI

10.3892/br.2021.1453

Rights and Permissions

Nguyen RD, Smyth MD, Zhu L, Pao LP, Swisher SK, Kennady EH, Mitra A, Patel RP, Lankford JE, Von Allmen G, Von Allmen G, et al (2021). A comparison of machine learning classifiers for pediatric epilepsy using resting‑state functional MRI latency data. Biomed Rep 15(3): 77 https://doi.org/10.3892/br.2021.1453 © Nguyen et al. This is an open access article distributed under the terms of Creative Commons Attribution License.

Recommended Citation

Nguyen, Ryan D; Smyth, Matthew D; Zhu, Liang; Pao, Ludovic P; Swisher, Shannon K; Kennady, Emmett H; Mitra, Anish; Patel, Rajan P; Lankford, Jeremy E; Von Allmen, Gretchen; Watkins, Michael W; Funke, Michael E; and Shah, Manish N, "A comparison of machine learning classifiers for pediatric epilepsy using resting-state functional MRI latency data." Biomedical Reports. 15, 3. 77 (2021).
https://digitalcommons.wustl.edu/open_access_pubs/10604