A comparison of machine learning classifiers for pediatric epilepsy using resting‑state functional MRI latency data-Reference-Cited by-同舟云学术

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

Published:2021-07-23 Issue:3 Volume:15 Page:
ISSN:2049-9434
Container-title:Biomedical Reports
language:
Short-container-title:Biomed Rep

Author:

Nguyen Ryan¹,Smyth Matthew²,Zhu Liang³,Pao Ludovic¹,Swisher Shannon ¹,Kennady Emmett¹,Mitra Anish⁴,Patel Rajan⁵,Lankford Jeremy⁶,Von Allmen Gretchen ⁶,Watkins Michael⁶,Funke Michael⁶,Shah Manish¹

Affiliation:

1. Division of Pediatric Neurosurgery, McGovern Medical School at UTHealth, Houston, TX 77030, USA

2. Department of Neurological Surgery, Washington University School of Medicine, St. Louis, MO 63110, USA

3. Biostatistics and Epidemiology Research Design Core, Institute for Clinical and Translational Sciences, McGovern Medical School at UTHealth, Houston, TX 77030, USA

4. Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO 63110, USA

5. Department of Diagnostic and Interventional Imaging, McGovern Medical School at UTHealth, Houston, TX 77030, USA

6. Department of Pediatric Neurology, McGovern Medical School at UTHealth, Houston, TX 77030, USA

Publisher

Spandidos Publications

Subject

General Pharmacology, Toxicology and Pharmaceutics,General Biochemistry, Genetics and Molecular Biology,General Medicine,General Neuroscience

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