A semi‐supervised Support Vector Machine model for predicting the language outcomes following cochlear implantation based on pre‐implant brain fMRI imaging-Reference-Cited by-同舟云学术

A semi‐supervised Support Vector Machine model for predicting the language outcomes following cochlear implantation based on pre‐implant brain fMRI imaging

Published:2015-10-12 Issue:12 Volume:5 Page:
ISSN:2162-3279
Container-title:Brain and Behavior
language:en
Short-container-title:Brain Behav

Author:

Tan Lirong¹²,Holland Scott K.³,Deshpande Aniruddha K.⁴,Chen Ye¹²,Choo Daniel I.⁵,Lu Long J.¹²⁶

Affiliation:

1. Division of Biomedical Informatics Cincinnati Children's Hospital Research Foundation 3333 Burnet Avenue Cincinnati Ohio 45229

2. Department of Electrical Engineering and Computing System University of Cincinnati 812 Rhodes Hall Cincinnati Ohio 45221‐0030

3. Pediatric Neuroimaging Research Consortium Cincinnati Children's Hospital Medical Center Cincinnati Ohio 45221

4. Department of Speech‐Language‐Hearing‐Sciences, 106A Davison Hall 110 Hofstra University, Hempstead New York 11549

5. Department of Otolaryngology College of Medicine University of Cincinnati Medical Sciences Building 231 Albert Sabin Way Cincinnati Ohio 45267

6. Department of Environmental Health College of Medicine University of Cincinnati 231 Albert Sabin Way Cincinnati Ohio 45267

Funder

National Institutes of Health

Publisher

Wiley

Subject

Behavioral Neuroscience

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/brb3.391

Reference112 articles.

1. Abidine M. B.Fergani andL.Clavier.2013.Importance‐weighted the imbalanced data for C‐SVM classifier to human activity recognition. 8th WoSSPA.

2. Categorical Speech Perception in Cerebellar Disorders

3. Infant brain probability templates for MRI segmentation and normalization

4. CEREBELLAR PROJECTIONS TO LIMBIC SYSTEM

5. Neonatal auditory activation detected by functional magnetic resonance imaging

Cited by 32 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Artificial Intelligence in Otology and Neurotology;Otolaryngologic Clinics of North America;2024-10

2. Machine learning application in otology;Auris Nasus Larynx;2024-08

3. Recent advances in Otology: Current landscape and future direction;Auris Nasus Larynx;2024-06

4. Prediction of Cochlear Implant Fitting by Machine Learning Techniques;Otology & Neurotology;2024-05-21

5. Machine learning-based prediction of the outcomes of cochlear implantation in patients with inner ear malformation;European Archives of Oto-Rhino-Laryngology;2024-02-14