Machine-learning classification using neuroimaging data in schizophrenia, autism, ultra-high risk an...
Machine-learning classification using neuroimaging data in schizophrenia, autism, ultra-high risk and first-episode psychosis
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Publisher
London: Nature Publishing Group UK
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Language
English
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London: Nature Publishing Group UK
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Contents
Neuropsychiatric disorders are diagnosed based on behavioral criteria, which makes the diagnosis challenging. Objective biomarkers such as neuroimaging are needed, and when coupled with machine learning, can assist the diagnostic decision and increase its reliability. Sixty-four schizophrenia, 36 autism spectrum disorder (ASD), and 106 typically de...
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Machine-learning classification using neuroimaging data in schizophrenia, autism, ultra-high risk and first-episode psychosis
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TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7429957
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7429957
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ISSN
2158-3188
E-ISSN
2158-3188
DOI
10.1038/s41398-020-00965-5