Can we accurately classify schizophrenia patients from healthy controls using magnetic resonance imaging and machine learning? A multi-method and multi-dataset study.
Machine learning is a powerful tool that has previously been used to classify schizophrenia (SZ) patients from healthy controls (HC) using magnetic resonance images. Each study, however, uses different datasets, classification algorithms, and validation techniques. Here, we perform a critical apprai...
| Published in: | Schizophrenia Research Vol. 214; pp. 3 - 11 |
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| Main Authors: | , , , , , , , , |
| Format: | research Journal Article |
| Published: |
Elsevier B.V.
Dec2019
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| Online Access: | View this record in EBSCOhost |