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Machine Learning Classification of Cirrhotic Patients with and without Minimal Hepatic Encephalopathy Based on Regional Homogeneity of Intrinsic Brain Activity
Machine learning-based approaches play an important role in examining functional magnetic resonance imaging (fMRI) data in a multivariate manner and extracting features predictive of group membership. This study was performed to assess the potential for measuring brain intrinsic activity to identify...
Tallennettuna:
| Julkaisussa: | PLoS One |
|---|---|
| Päätekijät: | , , , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
Public Library of Science
2016
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4792397/ https://ncbi.nlm.nih.gov/pubmed/26978777 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0151263 |
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